Terraform Github Jobs in Usa
276 positions found — Page 14
J
Senior Automation Engineer
🏢 Jobot
Salary not disclosed
This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $180,000
- $200,000 per year A bit about us: We are a large, diversified organization with a long-standing presence across multiple industries and a strong focus on innovation and operational excellence.
Our technology teams support a broad portfolio of digital platforms, data systems, and enterprise services that power business-critical operations at scale.
As we continue to modernize and evolve our technology landscape, we invest in building reliable, well-integrated systems and in the people who design and support them.
Collaboration, accountability, and thoughtful engineering are central to how we work.
Why join us? Join a large, established organization in the middle of meaningful technology modernization.
This role offers the opportunity to work on complex, enterprise-scale systems where automation, integration, and data accuracy truly matter.
You’ll have visibility, influence, and strong cross-functional partnership, helping shape how platforms connect and operate across the business.
If you enjoy solving real problems at scale and building solutions that drive long-term impact, this is a role where your work will be seen and used.
Job Details Senior Automation Engineer About the Role We are seeking a Senior Automation Engineer to help design and deliver scalable, intelligent automation across a complex enterprise environment.
This role is ideal for an engineer who began their career in Cloud Engineering, Network Engineering, or Identity & Access Management (IAM) and has since expanded into automation, systems integration, and operational efficiency.
This position goes beyond traditional scripting or task automation.
You will work at the intersection of infrastructure, identity, cloud platforms, and service management, using automation to connect systems, reduce manual work, and improve reliability and visibility across the enterprise.
A strong understanding of CMDB concepts and data relationships is critical, as automation efforts will rely heavily on accurate configuration data.
Key Responsibilities Automation & Integration Design, build, and maintain automation workflows that integrate cloud platforms, network systems, identity providers, and IT service management tools Develop automation to support provisioning, deprovisioning, configuration changes, incident response, and operational workflows Create reusable automation frameworks and patterns to scale automation across teams CMDB & Service Management Leverage CMDB data to drive automation, ensuring configuration items (CIs) and relationships are accurate and actionable Partner with service management teams to improve CMDB data quality, discovery, and governance Build automations that update, validate, and reconcile CMDB records across systems Cloud, Network & Identity Enablement Automate workflows related to cloud infrastructure (AWS, Azure, GCP), networking, and identity platforms (Okta, Azure AD, AD, CyberArk, etc.) Collaborate with cloud, network, and IAM teams to standardize and automate common operational tasks Support identity-driven automation use cases such as access provisioning, role-based access, and lifecycle events Operational Excellence Reduce manual effort and operational risk through automation and self-service capabilities Improve reliability, observability, and response times through automated remediation and event-driven workflows Support incident, change, and configuration management processes with automation-first solutions Collaboration & Leadership Act as a technical mentor and automation subject-matter expert for engineering and operations teams Partner closely with architecture, security, and platform teams to align automation with enterprise standards Contribute to automation strategy, roadmap, and best practices Required Qualifications Strong background in Cloud Engineering, Network Engineering, or Identity & Access Management, with a transition into automation Hands-on experience building automation using scripting or automation tools (Python, PowerShell, Bash, Ansible, Terraform, etc.) Solid understanding of CMDB concepts, configuration items, relationships, and service mapping Experience integrating automation with ITSM platforms (e.g., ServiceNow or similar) Strong systems-thinking mindset and ability to work across technical domains Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $180,000
- $200,000 per year A bit about us: We are a large, diversified organization with a long-standing presence across multiple industries and a strong focus on innovation and operational excellence.
Our technology teams support a broad portfolio of digital platforms, data systems, and enterprise services that power business-critical operations at scale.
As we continue to modernize and evolve our technology landscape, we invest in building reliable, well-integrated systems and in the people who design and support them.
Collaboration, accountability, and thoughtful engineering are central to how we work.
Why join us? Join a large, established organization in the middle of meaningful technology modernization.
This role offers the opportunity to work on complex, enterprise-scale systems where automation, integration, and data accuracy truly matter.
You’ll have visibility, influence, and strong cross-functional partnership, helping shape how platforms connect and operate across the business.
If you enjoy solving real problems at scale and building solutions that drive long-term impact, this is a role where your work will be seen and used.
Job Details Senior Automation Engineer About the Role We are seeking a Senior Automation Engineer to help design and deliver scalable, intelligent automation across a complex enterprise environment.
This role is ideal for an engineer who began their career in Cloud Engineering, Network Engineering, or Identity & Access Management (IAM) and has since expanded into automation, systems integration, and operational efficiency.
This position goes beyond traditional scripting or task automation.
You will work at the intersection of infrastructure, identity, cloud platforms, and service management, using automation to connect systems, reduce manual work, and improve reliability and visibility across the enterprise.
A strong understanding of CMDB concepts and data relationships is critical, as automation efforts will rely heavily on accurate configuration data.
Key Responsibilities Automation & Integration Design, build, and maintain automation workflows that integrate cloud platforms, network systems, identity providers, and IT service management tools Develop automation to support provisioning, deprovisioning, configuration changes, incident response, and operational workflows Create reusable automation frameworks and patterns to scale automation across teams CMDB & Service Management Leverage CMDB data to drive automation, ensuring configuration items (CIs) and relationships are accurate and actionable Partner with service management teams to improve CMDB data quality, discovery, and governance Build automations that update, validate, and reconcile CMDB records across systems Cloud, Network & Identity Enablement Automate workflows related to cloud infrastructure (AWS, Azure, GCP), networking, and identity platforms (Okta, Azure AD, AD, CyberArk, etc.) Collaborate with cloud, network, and IAM teams to standardize and automate common operational tasks Support identity-driven automation use cases such as access provisioning, role-based access, and lifecycle events Operational Excellence Reduce manual effort and operational risk through automation and self-service capabilities Improve reliability, observability, and response times through automated remediation and event-driven workflows Support incident, change, and configuration management processes with automation-first solutions Collaboration & Leadership Act as a technical mentor and automation subject-matter expert for engineering and operations teams Partner closely with architecture, security, and platform teams to align automation with enterprise standards Contribute to automation strategy, roadmap, and best practices Required Qualifications Strong background in Cloud Engineering, Network Engineering, or Identity & Access Management, with a transition into automation Hands-on experience building automation using scripting or automation tools (Python, PowerShell, Bash, Ansible, Terraform, etc.) Solid understanding of CMDB concepts, configuration items, relationships, and service mapping Experience integrating automation with ITSM platforms (e.g., ServiceNow or similar) Strong systems-thinking mindset and ability to work across technical domains Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Sr. Database Administrator (on-site)
🏢 Jobot
Salary not disclosed
Sr.
Database Administrator needed for large well-established California Bank (9-12+ Month Contract) This Jobot Consulting Job is hosted by: Joseph Calabrese Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $50
- $62 per hour A bit about us: Sr.
Database Administrator needed for large established California Bank
- is responsible for analyzing, designing, configuring, maintaining and repairing systems infrastructure and application components.
Why join us? Full benefits while on contract: Medical (75% paid
- Blue Cross) Dental Vision 401k Job Details Responsibilities: Assists with on prem SQL databases, including Enterprise Always On (2016, 2019, 2022) and toolsets such as SolarWinds DPA (database performance analyzer).
Infrastructure as Code (IaC): Automate the provisioning and management of database environments using tools like Terraform, Ansible, or CloudFormation.
Hybrid Data Orchestration: Manage data movement, synchronization, and replication between local data centers and cloud-native services like Amazon RDS, Azure SQL, or Google BigQuery.
FinOps & Cost Optimization: Proactively monitor cloud resource consumption and right-size instances to prevent "bill shock" from inefficient queries or over-provisioned resources.
DevOps & CI/CD Integration: Collaborate with development teams to integrate database changes into automated software deployment pipelines (CI/CD).
Security & Compliance: Enforce data governance frameworks (e.g., GDPR, SOC2, HIPAA) across distributed environments, managing identity access (IAM), encryption, and audit trails.
Performance Engineering: Tune not just SQL queries, but also cloud-specific resources like IOPS, memory, and network latency in virtualized environments.
Required Skills & Qualifications: Cloud Platforms: Deep expertise in at least one major cloud provider (AWS, Azure, or OCI) and familiarity with multi-cloud architectures.
Database Management Systems (DBMS): Mastery of relational systems (SQL Server, Oracle, PostgreSQL, MySQL) and increasingly NoSQL or Big Data solutions (MongoDB, Snowflake, Cassandra).
Automation Scripting: Proficiency in Python, PowerShell, or Bash to automate repetitive tasks like patching and backups.
Disaster Recovery: Designing high-availability (HA) solutions that utilize multi-region replication and automated failover.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Database Administrator needed for large well-established California Bank (9-12+ Month Contract) This Jobot Consulting Job is hosted by: Joseph Calabrese Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $50
- $62 per hour A bit about us: Sr.
Database Administrator needed for large established California Bank
- is responsible for analyzing, designing, configuring, maintaining and repairing systems infrastructure and application components.
Why join us? Full benefits while on contract: Medical (75% paid
- Blue Cross) Dental Vision 401k Job Details Responsibilities: Assists with on prem SQL databases, including Enterprise Always On (2016, 2019, 2022) and toolsets such as SolarWinds DPA (database performance analyzer).
Infrastructure as Code (IaC): Automate the provisioning and management of database environments using tools like Terraform, Ansible, or CloudFormation.
Hybrid Data Orchestration: Manage data movement, synchronization, and replication between local data centers and cloud-native services like Amazon RDS, Azure SQL, or Google BigQuery.
FinOps & Cost Optimization: Proactively monitor cloud resource consumption and right-size instances to prevent "bill shock" from inefficient queries or over-provisioned resources.
DevOps & CI/CD Integration: Collaborate with development teams to integrate database changes into automated software deployment pipelines (CI/CD).
Security & Compliance: Enforce data governance frameworks (e.g., GDPR, SOC2, HIPAA) across distributed environments, managing identity access (IAM), encryption, and audit trails.
Performance Engineering: Tune not just SQL queries, but also cloud-specific resources like IOPS, memory, and network latency in virtualized environments.
Required Skills & Qualifications: Cloud Platforms: Deep expertise in at least one major cloud provider (AWS, Azure, or OCI) and familiarity with multi-cloud architectures.
Database Management Systems (DBMS): Mastery of relational systems (SQL Server, Oracle, PostgreSQL, MySQL) and increasingly NoSQL or Big Data solutions (MongoDB, Snowflake, Cassandra).
Automation Scripting: Proficiency in Python, PowerShell, or Bash to automate repetitive tasks like patching and backups.
Disaster Recovery: Designing high-availability (HA) solutions that utilize multi-region replication and automated failover.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Platform Architect Manager - Cloud Data Solutions
🏢 Jobot
Salary not disclosed
Lead new Cloud Platform team
- Hybrid in The Woodlands This Jobot Job is hosted by: Chuck Wirtz Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $170,000 per year A bit about us: As a leader in our industry, we serve 40+ states across the country and handle immense amounts of data.
Why join us? We are moving to the Cloud and started an internal team about a year ago.
Now that we have established where and how we want to utilize the data, we are ready to bring on an experienced Platform Architect to build and optimize our platforms and workflows.
This is an on-site 4x/week opportunity in The Woodlands, offering great bonuses, stock, and comprehensive benefit programs.
Job Details AWS Databricks ETL Glue Terraform CI/CD AI/ML Polly/Transcribe/Bedrock SOC2/HIPPA/GDPR Python/Bash Docker/Kubernetes No C2C or sponsorship Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
- Hybrid in The Woodlands This Jobot Job is hosted by: Chuck Wirtz Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $170,000 per year A bit about us: As a leader in our industry, we serve 40+ states across the country and handle immense amounts of data.
Why join us? We are moving to the Cloud and started an internal team about a year ago.
Now that we have established where and how we want to utilize the data, we are ready to bring on an experienced Platform Architect to build and optimize our platforms and workflows.
This is an on-site 4x/week opportunity in The Woodlands, offering great bonuses, stock, and comprehensive benefit programs.
Job Details AWS Databricks ETL Glue Terraform CI/CD AI/ML Polly/Transcribe/Bedrock SOC2/HIPPA/GDPR Python/Bash Docker/Kubernetes No C2C or sponsorship Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Director of Site Reliability Engineering
🏢 Jobot
Salary not disclosed
This Jobot Job is hosted by: Merwan Zattam Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $220,000
- $260,000 per year A bit about us: We are a mission-driven organization dedicated to making AI adoption safe and secure for enterprises worldwide.
As the leading provider of Security for AI, our platform protects agentic, generative, and predictive AI applications across the entire lifecycle—safeguarding intellectual property, ensuring compliance, and enabling organizations to innovate with confidence.
Our team was founded by cybersecurity and machine learning veterans who experienced a real adversarial AI attack firsthand.
That moment led to the creation of a new category focused entirely on protecting machine learning systems from threats such as prompt injection, adversarial manipulation, model theft, and supply chain compromise.
Backed by strategic investors including Microsoft’s Venture Fund (M12), Moore Strategic Ventures, Booz Allen Ventures, IBM Ventures, and Capital One Ventures, we combine patented technology with industry-leading research to defend the world’s most critical AI systems.
Recognized by Gartner as a “Cool Vendor for AI Security” and trusted by Fortune 500 organizations, government agencies, and enterprises across highly regulated industries, we are shaping the future of AI security in real time.
With strong product–market fit and rapid growth, this is an opportunity to join a generational company at a true inflection point—where the mission is bold, the bar is high, and the room for impact and growth is unmatched.
Why join us? Top Benefits of Working Here Be part of a new, fast-growing category Work at the forefront of AI security, an emerging space with massive demand and almost no competition.
High-impact mission Your work protects mission-critical AI systems for Fortune 500 companies, government agencies, and regulated industries.
Cutting-edge engineering Tackle challenges in AI/ML security, adversarial defense, model protection, and large-scale distributed systems.
Backed by top-tier investors Strong funding and stability from groups like Microsoft’s venture fund, IBM Ventures, and others.
Build from the ground up Shape the SRE, platform, and reliability culture—this is not a legacy environment.
High autonomy & ownership Influence roadmap, architecture, tooling, and direction.
Your work is visible and meaningful.
Fully remote, U.S.-based Flexibility, work-life balance, and a high-performance culture.
Competitive pay + real equity upside Top-tier compensation with equity at a company in a hyper-growth phase.
Elite team & steep career growth Collaborate with seasoned leaders in cybersecurity, ML, and enterprise infrastructure—and grow as the company grows.
Job Details Director of Site Reliability Engineering Remote – United States We are seeking a Director of Site Reliability Engineering to lead the broader Platform Engineering organization with a strategic focus on building a world-class SRE function.
Reporting to the VP of Engineering, you will be responsible for the reliability, scalability, and operational excellence of the mission-critical AI security platform used by enterprises and government organizations worldwide.
In this senior leadership role, you will define the SRE strategy, mentor and scale a high-performing team, and implement the systems, practices, and culture required to support rapid growth.
You will work at the intersection of cutting-edge AI security technology and enterprise-grade infrastructure, ensuring the platform delivers the always-on performance our customers depend on.
Your work will directly strengthen the security posture of organizations protecting their most valuable AI assets—from financial institutions and healthcare providers to government and Fortune 500 enterprises.
What You’ll Do Build and Lead the SRE Function Define and execute the SRE strategy and roadmap, positioning reliability as a core product feature Build, mentor, and scale a high-performing SRE and Platform Engineering team Establish SRE principles, culture, and best practices across engineering Create clear career development paths and raise the bar for hiring and excellence Drive Platform Reliability & Operational Excellence Own reliability, availability, latency, and performance across multi-cloud, multi-region deployments (AWS, Azure, GCP) Set and achieve SLOs/SLIs aligned with business objectives Architect multi-region resiliency: automated failover, graceful degradation, and disaster recovery Build robust observability: distributed tracing, metrics, logging, and actionable alerting Lead incident management: on-call processes, incident command, blameless post-mortems, and systematic remediation Enable Developer Velocity & Platform Excellence Own CI/CD pipelines and deployment infrastructure for safe, fast, reliable delivery Build internal developer platforms and tooling that reduce toil and improve productivity Implement progressive delivery (canaries, feature flags, automated rollbacks) Partner with engineering teams to embed reliability requirements and design patterns early in development Security, Compliance & Enterprise Requirements Ensure alignment with standards such as FedRAMP, SOC 2, ISO 27001, and other regulatory requirements Build and support air-gapped and on-premises deployment capabilities Implement infrastructure security controls, secrets management, and audit logging Support customer-facing SLAs and maintain trust with enterprise and government clients Scale & Optimize the Platform Lead capacity planning and performance engineering for platform growth Drive chaos engineering and resilience testing to validate system behavior under failure Optimize cost while maintaining reliability and performance Automate operational workflows to eliminate toil and improve efficiency What You Bring Leadership & Experience 8+ years in infrastructure, platform engineering, or SRE roles 4+ years in engineering leadership Experience supporting mission-critical, always-on systems at enterprise scale Strong people leadership and a track record of building high-performing teams Technical Expertise Deep knowledge of cloud infrastructure (AWS, Azure, GCP) and multi-region systems Strong experience with Kubernetes, Docker, and infrastructure-as-code (Terraform, Pulumi, CloudFormation) Proven ability to build and operate large-scale distributed systems Expertise in observability tooling (Prometheus, Grafana, Datadog, New Relic, ELK/EFK, distributed tracing) Proficiency in Python, Go, or similar languages Understanding of databases, data pipelines, message queues, and caching systems Strategic & Operational Skills Experience driving SRE strategy, SLOs/SLIs, error budgets, and incident management Ability to partner across engineering, product, security, and customer success Strong communication skills across technical and non-technical audiences Pragmatic problem-solving and sound decision-making Bonus Experience Background in cybersecurity or AI/ML infrastructure Familiarity with compliance frameworks (FedRAMP, SOC 2, ISO 27001, NIST) Experience supporting air-gapped or on-premise deployments Hands-on experience with chaos engineering and game day exercises Open-source contributions or SRE community leadership Why This Opportunity Stands Out Impact: Define reliability strategy for a category-leading AI security platform Growth: Build and scale the SRE function from the ground up in a fast-growing, well-funded environment Mission: Work on technology that is shaping the future of secure AI adoption Team: Join a world-class engineering organization with deep roots in security, ML, and distributed systems Innovation: Solve novel problems at the intersection of AI, security, and infrastructure Flexibility: Fully remote role with competitive compensation, equity, and benefits Location & Work Environment This is a fully remote position within the United States.
We value flexibility, ownership, collaboration, and excellence.
The team operates across time zones with a blend of async communication, regular syncs, and purposeful in-person gatherings.
Equal Opportunity We are an equal opportunity employer and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any legally protected status.
We are committed to fostering an inclusive environment where all team members can thrive.
If you need accommodations during the application or interview process, please let us know.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $220,000
- $260,000 per year A bit about us: We are a mission-driven organization dedicated to making AI adoption safe and secure for enterprises worldwide.
As the leading provider of Security for AI, our platform protects agentic, generative, and predictive AI applications across the entire lifecycle—safeguarding intellectual property, ensuring compliance, and enabling organizations to innovate with confidence.
Our team was founded by cybersecurity and machine learning veterans who experienced a real adversarial AI attack firsthand.
That moment led to the creation of a new category focused entirely on protecting machine learning systems from threats such as prompt injection, adversarial manipulation, model theft, and supply chain compromise.
Backed by strategic investors including Microsoft’s Venture Fund (M12), Moore Strategic Ventures, Booz Allen Ventures, IBM Ventures, and Capital One Ventures, we combine patented technology with industry-leading research to defend the world’s most critical AI systems.
Recognized by Gartner as a “Cool Vendor for AI Security” and trusted by Fortune 500 organizations, government agencies, and enterprises across highly regulated industries, we are shaping the future of AI security in real time.
With strong product–market fit and rapid growth, this is an opportunity to join a generational company at a true inflection point—where the mission is bold, the bar is high, and the room for impact and growth is unmatched.
Why join us? Top Benefits of Working Here Be part of a new, fast-growing category Work at the forefront of AI security, an emerging space with massive demand and almost no competition.
High-impact mission Your work protects mission-critical AI systems for Fortune 500 companies, government agencies, and regulated industries.
Cutting-edge engineering Tackle challenges in AI/ML security, adversarial defense, model protection, and large-scale distributed systems.
Backed by top-tier investors Strong funding and stability from groups like Microsoft’s venture fund, IBM Ventures, and others.
Build from the ground up Shape the SRE, platform, and reliability culture—this is not a legacy environment.
High autonomy & ownership Influence roadmap, architecture, tooling, and direction.
Your work is visible and meaningful.
Fully remote, U.S.-based Flexibility, work-life balance, and a high-performance culture.
Competitive pay + real equity upside Top-tier compensation with equity at a company in a hyper-growth phase.
Elite team & steep career growth Collaborate with seasoned leaders in cybersecurity, ML, and enterprise infrastructure—and grow as the company grows.
Job Details Director of Site Reliability Engineering Remote – United States We are seeking a Director of Site Reliability Engineering to lead the broader Platform Engineering organization with a strategic focus on building a world-class SRE function.
Reporting to the VP of Engineering, you will be responsible for the reliability, scalability, and operational excellence of the mission-critical AI security platform used by enterprises and government organizations worldwide.
In this senior leadership role, you will define the SRE strategy, mentor and scale a high-performing team, and implement the systems, practices, and culture required to support rapid growth.
You will work at the intersection of cutting-edge AI security technology and enterprise-grade infrastructure, ensuring the platform delivers the always-on performance our customers depend on.
Your work will directly strengthen the security posture of organizations protecting their most valuable AI assets—from financial institutions and healthcare providers to government and Fortune 500 enterprises.
What You’ll Do Build and Lead the SRE Function Define and execute the SRE strategy and roadmap, positioning reliability as a core product feature Build, mentor, and scale a high-performing SRE and Platform Engineering team Establish SRE principles, culture, and best practices across engineering Create clear career development paths and raise the bar for hiring and excellence Drive Platform Reliability & Operational Excellence Own reliability, availability, latency, and performance across multi-cloud, multi-region deployments (AWS, Azure, GCP) Set and achieve SLOs/SLIs aligned with business objectives Architect multi-region resiliency: automated failover, graceful degradation, and disaster recovery Build robust observability: distributed tracing, metrics, logging, and actionable alerting Lead incident management: on-call processes, incident command, blameless post-mortems, and systematic remediation Enable Developer Velocity & Platform Excellence Own CI/CD pipelines and deployment infrastructure for safe, fast, reliable delivery Build internal developer platforms and tooling that reduce toil and improve productivity Implement progressive delivery (canaries, feature flags, automated rollbacks) Partner with engineering teams to embed reliability requirements and design patterns early in development Security, Compliance & Enterprise Requirements Ensure alignment with standards such as FedRAMP, SOC 2, ISO 27001, and other regulatory requirements Build and support air-gapped and on-premises deployment capabilities Implement infrastructure security controls, secrets management, and audit logging Support customer-facing SLAs and maintain trust with enterprise and government clients Scale & Optimize the Platform Lead capacity planning and performance engineering for platform growth Drive chaos engineering and resilience testing to validate system behavior under failure Optimize cost while maintaining reliability and performance Automate operational workflows to eliminate toil and improve efficiency What You Bring Leadership & Experience 8+ years in infrastructure, platform engineering, or SRE roles 4+ years in engineering leadership Experience supporting mission-critical, always-on systems at enterprise scale Strong people leadership and a track record of building high-performing teams Technical Expertise Deep knowledge of cloud infrastructure (AWS, Azure, GCP) and multi-region systems Strong experience with Kubernetes, Docker, and infrastructure-as-code (Terraform, Pulumi, CloudFormation) Proven ability to build and operate large-scale distributed systems Expertise in observability tooling (Prometheus, Grafana, Datadog, New Relic, ELK/EFK, distributed tracing) Proficiency in Python, Go, or similar languages Understanding of databases, data pipelines, message queues, and caching systems Strategic & Operational Skills Experience driving SRE strategy, SLOs/SLIs, error budgets, and incident management Ability to partner across engineering, product, security, and customer success Strong communication skills across technical and non-technical audiences Pragmatic problem-solving and sound decision-making Bonus Experience Background in cybersecurity or AI/ML infrastructure Familiarity with compliance frameworks (FedRAMP, SOC 2, ISO 27001, NIST) Experience supporting air-gapped or on-premise deployments Hands-on experience with chaos engineering and game day exercises Open-source contributions or SRE community leadership Why This Opportunity Stands Out Impact: Define reliability strategy for a category-leading AI security platform Growth: Build and scale the SRE function from the ground up in a fast-growing, well-funded environment Mission: Work on technology that is shaping the future of secure AI adoption Team: Join a world-class engineering organization with deep roots in security, ML, and distributed systems Innovation: Solve novel problems at the intersection of AI, security, and infrastructure Flexibility: Fully remote role with competitive compensation, equity, and benefits Location & Work Environment This is a fully remote position within the United States.
We value flexibility, ownership, collaboration, and excellence.
The team operates across time zones with a blend of async communication, regular syncs, and purposeful in-person gatherings.
Equal Opportunity We are an equal opportunity employer and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any legally protected status.
We are committed to fostering an inclusive environment where all team members can thrive.
If you need accommodations during the application or interview process, please let us know.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
M
Sr Platform Engineer
Salary not disclosed
Job Summary Job Description JOB SUMMARY Medline Industries is seeking a Senior Platform Engineer to join our Platform Engineering team.
As a Senior Platform Engineer, you will lead the design, development, and maintenance of internal platforms and technical solutions that empower software development and operations teams to deliver applications and infrastructure efficiently and reliably.
You’ll apply DevOps principles to accelerate software delivery, foster cross-functional collaboration, and drive quality through automation and continuous improvement.
In this senior-level role, you’ll take ownership of strategic initiatives, mentor junior engineers, and manage complex projects from planning through execution.
You’ll work closely with developers, architects, and operations teams to ensure platforms are scalable, secure, and optimized for performance—while continuously driving innovation and automation across the organization.
MAJOR RESPONSIBILITIES
- Architect, design, and implement cloud-native platform solutions using modern infrastructure-as-code and automation platforms
- Build and maintain CI/CD pipelines and developer self-service platforms.
- Develop abstraction layers and APIs to simplify platform complexity for development teams.
- Implement and manage container orchestration systems (e.g., Kubernetes, Docker).
- Ensure platform security, compliance, and data protection through automated controls and monitoring.
- Collaborate with development teams to understand workflow requirements and deliver tailored platform capabilities.
- Develop and maintain comprehensive monitoring, logging, and observability solutions.
- Document platform architectures, processes, and best practices for internal use.
- Evaluate and integrate new technologies to enhance platform capabilities and developer experience.
- Provide technical support and guidance to Platform Operations and stakeholders
- Participate in incident response, troubleshooting, and root cause analysis for platform-related issues.
- Contribute to platform strategy and roadmap, aligning with organizational goals.
- Mentor and coach junior engineers, providing technical guidance and support for professional development.
- Track team goals, key projects, and deliverables, ensuring alignment with organizational objectives.
- Assist with project management and coordination of key initiatives.
MINIMUM JOB REQUIREMENTS Education Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
Certification / Licensure
- Relevant certifications (e.g., AWS/Azure/GCP Professional, CKA, Terraform Associate) preferred but not required.
Work Experience
- Minimum of 7 years of experience in Platform Engineering, DevOps, or Software Engineering or related fields.
- Experience designing and managing large-scale, enterprise-grade platforms.
Knowledge / Skills / Abilities
- Strong expertise in cloud platforms (AWS, Azure, GCP).
- Proficiency in infrastructure-as-code and configuration management tools.
- Advanced scripting skills (Python, Go, Bash).
- Experience with containerization and orchestration (Kubernetes, Docker).
- Deep understanding of CI/CD pipelines and developer platform concepts.
- Knowledge of security best practices and compliance frameworks.
- Experience with monitoring, logging, and observability tools.
- Ability to design scalable, reliable, and secure platform architectures.
- Excellent troubleshooting and problem-solving skills.
- Strong communication and documentation skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Experience mentoring and coaching junior engineers.
- Experience tracking team goals, projects, and supporting project management.
PREFERRED JOB REQUIREMENTS Education Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field Certification / Licensure
- Advanced certifications in cloud, DevOps, or platform engineering (e.g., AWS/Azure/GCP Professional, CKA, CKAD).
Work Experience
- 10+ years of experience in Platform Engineering, DevOps, Software Engineering or related fields.
- Experience designing and managing large-scale, enterprise-grade platforms.
Knowledge / Skills / Abilities
- Experience with AI/ML operations and MLOps platforms.
- Knowledge of service mesh technologies (Istio, Linkerd).
- Expertise in cloud-native security tools and practices.
- Experience with platform engineering frameworks (e.g., Backstage).
- Experience with chaos engineering and resilience testing.
- Proven ability to drive platform innovation and adoption across teams.
- Experience mentoring junior engineers and leading technical initiatives.
- Demonstrated project management and leadership skills.
Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position: $132,600.00
- $199,160.00 Annual The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.
This role is bonus and/or incentive eligible.
Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here .
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
As a Senior Platform Engineer, you will lead the design, development, and maintenance of internal platforms and technical solutions that empower software development and operations teams to deliver applications and infrastructure efficiently and reliably.
You’ll apply DevOps principles to accelerate software delivery, foster cross-functional collaboration, and drive quality through automation and continuous improvement.
In this senior-level role, you’ll take ownership of strategic initiatives, mentor junior engineers, and manage complex projects from planning through execution.
You’ll work closely with developers, architects, and operations teams to ensure platforms are scalable, secure, and optimized for performance—while continuously driving innovation and automation across the organization.
MAJOR RESPONSIBILITIES
- Architect, design, and implement cloud-native platform solutions using modern infrastructure-as-code and automation platforms
- Build and maintain CI/CD pipelines and developer self-service platforms.
- Develop abstraction layers and APIs to simplify platform complexity for development teams.
- Implement and manage container orchestration systems (e.g., Kubernetes, Docker).
- Ensure platform security, compliance, and data protection through automated controls and monitoring.
- Collaborate with development teams to understand workflow requirements and deliver tailored platform capabilities.
- Develop and maintain comprehensive monitoring, logging, and observability solutions.
- Document platform architectures, processes, and best practices for internal use.
- Evaluate and integrate new technologies to enhance platform capabilities and developer experience.
- Provide technical support and guidance to Platform Operations and stakeholders
- Participate in incident response, troubleshooting, and root cause analysis for platform-related issues.
- Contribute to platform strategy and roadmap, aligning with organizational goals.
- Mentor and coach junior engineers, providing technical guidance and support for professional development.
- Track team goals, key projects, and deliverables, ensuring alignment with organizational objectives.
- Assist with project management and coordination of key initiatives.
MINIMUM JOB REQUIREMENTS Education Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
Certification / Licensure
- Relevant certifications (e.g., AWS/Azure/GCP Professional, CKA, Terraform Associate) preferred but not required.
Work Experience
- Minimum of 7 years of experience in Platform Engineering, DevOps, or Software Engineering or related fields.
- Experience designing and managing large-scale, enterprise-grade platforms.
Knowledge / Skills / Abilities
- Strong expertise in cloud platforms (AWS, Azure, GCP).
- Proficiency in infrastructure-as-code and configuration management tools.
- Advanced scripting skills (Python, Go, Bash).
- Experience with containerization and orchestration (Kubernetes, Docker).
- Deep understanding of CI/CD pipelines and developer platform concepts.
- Knowledge of security best practices and compliance frameworks.
- Experience with monitoring, logging, and observability tools.
- Ability to design scalable, reliable, and secure platform architectures.
- Excellent troubleshooting and problem-solving skills.
- Strong communication and documentation skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Experience mentoring and coaching junior engineers.
- Experience tracking team goals, projects, and supporting project management.
PREFERRED JOB REQUIREMENTS Education Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field Certification / Licensure
- Advanced certifications in cloud, DevOps, or platform engineering (e.g., AWS/Azure/GCP Professional, CKA, CKAD).
Work Experience
- 10+ years of experience in Platform Engineering, DevOps, Software Engineering or related fields.
- Experience designing and managing large-scale, enterprise-grade platforms.
Knowledge / Skills / Abilities
- Experience with AI/ML operations and MLOps platforms.
- Knowledge of service mesh technologies (Istio, Linkerd).
- Expertise in cloud-native security tools and practices.
- Experience with platform engineering frameworks (e.g., Backstage).
- Experience with chaos engineering and resilience testing.
- Proven ability to drive platform innovation and adoption across teams.
- Experience mentoring junior engineers and leading technical initiatives.
- Demonstrated project management and leadership skills.
Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position: $132,600.00
- $199,160.00 Annual The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.
This role is bonus and/or incentive eligible.
Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here .
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
Not Specified
J
Senior Product Manager (DevOps)
🏢 Jobot
Salary not disclosed
Fully Remote, Well-Funded Startup.
Meaningful Equity, Annual Bonus, Great Benefits! This Jobot Job is hosted by: Grant Greenhalgh Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $170,000
- $200,000 per year A bit about us: We are a fast-growth, well-funded SaaS company.
Our platform offers end-to-end DevOps software for teams that don’t have dedicated Cloud Infrastructure engineers.
The platform handles everything from automation, integrations, migrations, cloud ops, DevOps, and security/compliance, with 24x7 monitoring and support.
Why join us? We have an engineering, product driven culture that does right by our employees.
Our team has been remote since day one.
Annual Bonus and 401k Comprehensive Healthcare and Dental Benefits Meaningful Equity and Options Well-funded, stable and room for growth Job Details We’re looking for a Senior Product Manager to drive deep alignment across engineering, customers, and go-to-market teams.
This is a highly cross-functional role with broad ownership and visibility.
The ideal candidate has a strong technical background in DevOps or cloud infrastructure and is passionate about solving real-world problems for developers.
Expectations Owning the product roadmap from concept to launch and iteration.
Collaborating with customers to deeply understand feature requests, pain points, and use cases.
Translating complex Cloud workflows into user-friendly product experiences.
Presenting roadmaps and product updates to customers, partners, and executive stakeholders.
Using data to continuously evaluate product performance and drive improvements.
Qualifications 7+ years of product management experience in SaaS, Dev Platforms, or cloud infrastructure.
Previous experience in DevOps, SRE or Cloud Architecture is ideal.
Posses strong knowledge and working experience with AWS, Azure, and GCP Understanding of modern DevOps tooling and practices (CI/CD, Kubernetes, Terraform, and IaC) Experience with compliance frameworks is a huge plus (SOC 2, HIPAA, or FedRAMP) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Meaningful Equity, Annual Bonus, Great Benefits! This Jobot Job is hosted by: Grant Greenhalgh Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $170,000
- $200,000 per year A bit about us: We are a fast-growth, well-funded SaaS company.
Our platform offers end-to-end DevOps software for teams that don’t have dedicated Cloud Infrastructure engineers.
The platform handles everything from automation, integrations, migrations, cloud ops, DevOps, and security/compliance, with 24x7 monitoring and support.
Why join us? We have an engineering, product driven culture that does right by our employees.
Our team has been remote since day one.
Annual Bonus and 401k Comprehensive Healthcare and Dental Benefits Meaningful Equity and Options Well-funded, stable and room for growth Job Details We’re looking for a Senior Product Manager to drive deep alignment across engineering, customers, and go-to-market teams.
This is a highly cross-functional role with broad ownership and visibility.
The ideal candidate has a strong technical background in DevOps or cloud infrastructure and is passionate about solving real-world problems for developers.
Expectations Owning the product roadmap from concept to launch and iteration.
Collaborating with customers to deeply understand feature requests, pain points, and use cases.
Translating complex Cloud workflows into user-friendly product experiences.
Presenting roadmaps and product updates to customers, partners, and executive stakeholders.
Using data to continuously evaluate product performance and drive improvements.
Qualifications 7+ years of product management experience in SaaS, Dev Platforms, or cloud infrastructure.
Previous experience in DevOps, SRE or Cloud Architecture is ideal.
Posses strong knowledge and working experience with AWS, Azure, and GCP Understanding of modern DevOps tooling and practices (CI/CD, Kubernetes, Terraform, and IaC) Experience with compliance frameworks is a huge plus (SOC 2, HIPAA, or FedRAMP) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
M
Sr Software Engineer- Developer Experience
🏢 Medline Industries - Transportation & Operations
Salary not disclosed
Job Summary Job Description Major Responsibilities Rapidly deliver proofs of concept (POCs) and pilots, clearly articulate their impact, and challenge ideas to drive informed decision-making.
Identify pain points for internal development teams, propose solutions, and implement features that simplify development and deployment processes.
Apply expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices.
Innovate and establish best practices in software architecture and development processes.
Demonstrate expertise in the software development lifecycle (SDLC) and optimize processes through automation.
Promote and guide adoption of the Well-Architected Framework, ensuring best practices across engineering teams.
Collaborate with applications, DevOps, and platform teams to ensure platform tools are reliable, scalable, and aligned with organizational standards.
Partner with architects and product managers to translate system architecture and product requirements into well-designed, high-quality software components.
Balance technical leadership with strong business judgment to make sound technology choices.
Champion coding standards, automation, observability, and security practices across developer-facing tools and pipelines.
Lead and mentor junior engineers, fostering technical growth and professional development.
Drive continuous improvement in development processes, including code reviews, testing, and deployment strategies.
Stay current with emerging trends and technologies, applying them to enhance developer experience and platform capabilities.
Contribute to the overall architecture and design of application modernization initiatives.
Explore and pilot emerging AI technologies (including agentic AI), translating learnings into practical developer-experience improvements.
Actively participate in Agile/Scrum ceremonies, including Program Increment (PI) Planning, and influence team direction.
Minimum Job Requirements 15+ years of software engineering experience, with deep expertise in application modernization and full stack microservices development on AKS and cloud platforms (particularly Azure).
10+ years of experience with diverse programming languages (Java, .NET, Python, React, Angular, etc.) and the full SDLC, including coding standards, code reviews, source control, build processes, testing, and operations.
Bachelor’s degree in computer science, Engineering, or related field.
Proven experience in designing and delivering training programs to drive adoption of new solutions across the organization.
Proven expertise in designing, developing, and maintaining platform tools, frameworks, and automation to improve productivity and streamline the SDLC.
Ability to design and develop detailed architecture artifacts (logical, conceptual, and integration diagrams) for teams and projects.
Strong experience with containerization and deployment tools (Docker, Kubernetes, Helm).
Hands-on experience with DevOps and automation tools (GitLab, Jenkins, Terraform, Ansible, Kubernetes, Packer).
Experience with test automation frameworks (JUnit, Mockito, Selenium etc).
Experience building with AI development tools.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Strong problem-solving attitude, with a focus on addressing enterprise-level challenges and identifying innovative solutions.
Strong fundamental understanding with ability to thrive in a fast-paced, dynamic environment and adapt to new tools and technologies.
Working knowledge of Agile methodologies, JIRA, ITSM, and software delivery tools.
Proven ability to multitask, manage multiple projects, and deliver results with ownership and accountability.
Preferred Qualifications Advanced degree in Computer Science, Engineering, or related field.
Experience with large-scale enterprise modernization initiatives.
Deep expertise in cloud-native architecture and hybrid cloud environments.
Familiarity / experience with observability platforms Experience in integrating AI/ML solutions into developer workflows.
Strong track record of influencing engineering culture and driving adoption of modern development practices across large organizations.
Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position: $132,600.00
- $199,160.00 Annual The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.
This role is bonus and/or incentive eligible.
Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here .
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
Identify pain points for internal development teams, propose solutions, and implement features that simplify development and deployment processes.
Apply expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices.
Innovate and establish best practices in software architecture and development processes.
Demonstrate expertise in the software development lifecycle (SDLC) and optimize processes through automation.
Promote and guide adoption of the Well-Architected Framework, ensuring best practices across engineering teams.
Collaborate with applications, DevOps, and platform teams to ensure platform tools are reliable, scalable, and aligned with organizational standards.
Partner with architects and product managers to translate system architecture and product requirements into well-designed, high-quality software components.
Balance technical leadership with strong business judgment to make sound technology choices.
Champion coding standards, automation, observability, and security practices across developer-facing tools and pipelines.
Lead and mentor junior engineers, fostering technical growth and professional development.
Drive continuous improvement in development processes, including code reviews, testing, and deployment strategies.
Stay current with emerging trends and technologies, applying them to enhance developer experience and platform capabilities.
Contribute to the overall architecture and design of application modernization initiatives.
Explore and pilot emerging AI technologies (including agentic AI), translating learnings into practical developer-experience improvements.
Actively participate in Agile/Scrum ceremonies, including Program Increment (PI) Planning, and influence team direction.
Minimum Job Requirements 15+ years of software engineering experience, with deep expertise in application modernization and full stack microservices development on AKS and cloud platforms (particularly Azure).
10+ years of experience with diverse programming languages (Java, .NET, Python, React, Angular, etc.) and the full SDLC, including coding standards, code reviews, source control, build processes, testing, and operations.
Bachelor’s degree in computer science, Engineering, or related field.
Proven experience in designing and delivering training programs to drive adoption of new solutions across the organization.
Proven expertise in designing, developing, and maintaining platform tools, frameworks, and automation to improve productivity and streamline the SDLC.
Ability to design and develop detailed architecture artifacts (logical, conceptual, and integration diagrams) for teams and projects.
Strong experience with containerization and deployment tools (Docker, Kubernetes, Helm).
Hands-on experience with DevOps and automation tools (GitLab, Jenkins, Terraform, Ansible, Kubernetes, Packer).
Experience with test automation frameworks (JUnit, Mockito, Selenium etc).
Experience building with AI development tools.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Strong problem-solving attitude, with a focus on addressing enterprise-level challenges and identifying innovative solutions.
Strong fundamental understanding with ability to thrive in a fast-paced, dynamic environment and adapt to new tools and technologies.
Working knowledge of Agile methodologies, JIRA, ITSM, and software delivery tools.
Proven ability to multitask, manage multiple projects, and deliver results with ownership and accountability.
Preferred Qualifications Advanced degree in Computer Science, Engineering, or related field.
Experience with large-scale enterprise modernization initiatives.
Deep expertise in cloud-native architecture and hybrid cloud environments.
Familiarity / experience with observability platforms Experience in integrating AI/ML solutions into developer workflows.
Strong track record of influencing engineering culture and driving adoption of modern development practices across large organizations.
Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position: $132,600.00
- $199,160.00 Annual The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.
This role is bonus and/or incentive eligible.
Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here .
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
Not Specified
M
Lead Analyst Systems- Platform Infrastructure
🏢 Medline Industries - Transportation & Operations
Salary not disclosed
Job Summary Job Description The Lead System Analyst is accountable for the reliability, performance, security, and operational maturity of Supply Chain Technology infrastructure across development, test, and production environments.
This role extends beyond hands-on execution to include technical leadership, decision-making, and ownership of platform outcomes.
The Lead System Analyst sets operational standards, provides technical direction and mentorship to analysts and partner resources, serves as a primary escalation point, and ensures platform services operate consistently, predictably, and at scale.
The Lead System Analyst partners closely with Supply Chain Technology leadership, application teams, infrastructure, security, DevOps, and managed service providers to reduce operational risk, improve incident outcomes, and continuously raise the bar for platform reliability and efficiency.
Team / Reporting This role sits within Platform Services and functions as a technical leader and escalation point across application teams, infrastructure, security, DevOps, and managed service partners.
The Lead System Analyst supports the Platform Services Manager by owning technical execution standards, guiding analysts and contractors, and translating platform risks, constraints, and trade-offs into actionable plans aligned with team strategy and business priorities.
Key Responsibilities 1) Platform Operations Leadership & Environment Readiness Own platform operational health and readiness outcomes across development, test, and production environments.
Establish, document, and enforce platform standards for configuration, readiness validation, and operational practices.
Review and guide system design, configuration, upgrades, and troubleshooting performed by analysts and partner resources.
Identify systemic risks and drive preventative improvements before issues impact production.
2) Reliability Engineering, Monitoring & Observability Define and govern monitoring, alerting, and observability standards to ensure high-quality, actionable telemetry.
Lead investigation and resolution of complex or cross-system incidents involving multiple teams.
Ensure root-cause findings translate into durable fixes and measurable reliability improvements.
Automation & Engineering Best Practices Develop and maintain automation scripts (PowerShell, Python, Bash) to reduce manual tasks and increase consistency across environments.
Lead automation initiatives using tools such as Ansible or Terraform where applicable; partner with platform teams to advance infrastructure-as-code and CI/CD integration.
4) AI-Enabled Operations (AIOps) & Copilot Enablement Evaluate and apply AI-driven features within observability/monitoring tooling to reduce alert noise, improve anomaly detection, and prioritize telemetry for faster triage.
Help operationalize intelligent dashboards and analytics that answer specific health and reliability questions for the portfolio and enable other teams to use them effectively.
Use Microsoft 365 Copilot to accelerate creation of runbooks, post-incident summaries, knowledge base articles, and stakeholder communications while maintaining accuracy and appropriate data handling.
Where appropriate and approved, contribute to building or refining internal copilots/agents (e.g., via Copilot Studio) to streamline support workflows and self-service access to operational knowledge.
5) Cross-Team Leadership & Stakeholder Partnership Act as a primary liaison across application teams, infrastructure, security, DevOps, and managed service providers.
Collaborate with business partners and application development teams to build, refine, test, secure, and debug system capabilities as needed.
Translate platform risks and constraints into clear, actionable guidance.
6) Incident Management & Continuous Improvement Serve as the escalation point for high-impact or recurring incidents.
Lead blameless post-incident reviews and own corrective action follow-through.6) Mentorship, Oversight & Knowledge Management Provide technical mentorship, peer review, and guidance.
Ensure knowledge is reusable, discoverable, and consistently applied.
7) Documentation & Knowledge Management Author and maintain system and process documentation (workflow charts, diagrams, system specifications).
Contribute to knowledge base content to support repeatable resolution of common issues and reduce escalations.
Required Qualifications Education Bachelor’s degree in computer science or related field.
Or equivalent work experience with desired systems and technologies Work Experience 7+ years of experience in analysis, configuration, and development on relevant platforms 5+ years of hands-on experience administering and automating Windows and Linux-based systems in large-scale enterprise environments.
3+ years in operations or reliability-focused role providing production support for business-critical, enterprise-grade platforms and applications.
Knowledge / Skills / Abilities Strong analytical and problem-solving skills to assess platform health, identify systemic risks, and drive preventative improvements.
Ability to independently design, standardize, and troubleshoot complex platform services spanning infrastructure, automation, monitoring, and operations.
Strong understanding of operational best practices including incident management, root-cause analysis, change management, and reliability engineering concepts.
Hands-on knowledge of automation and scripting techniques used to reduce operational toil and improve consistency (e.g., PowerShell, Python, Bash).
Working understanding of modern infrastructure and platform architectures, including hybrid and cloud-based environments, and differences between SaaS, PaaS, and onpremises deployments.
Excellent verbal and written communication skills; able to clearly articulate technical risks, trade-offs, and impacts to both technical teams and business or leadership audiences.
Strong interpersonal and relationship management skills, with the ability to influence cross-team outcomes without direct authority.
Ability to operate independently as a self-starter while also serving as a collaborative technical leader within a team-oriented environment.
Core Competencies Platform ownership mindset.
Technical leadership and influence.
Operational judgment and reliability focus.
Clear escalation and stakeholder communication.
Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position: $116,000.00
- $174,000.00 Annual The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.
This role is bonus and/or incentive eligible.
Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here .
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
This role extends beyond hands-on execution to include technical leadership, decision-making, and ownership of platform outcomes.
The Lead System Analyst sets operational standards, provides technical direction and mentorship to analysts and partner resources, serves as a primary escalation point, and ensures platform services operate consistently, predictably, and at scale.
The Lead System Analyst partners closely with Supply Chain Technology leadership, application teams, infrastructure, security, DevOps, and managed service providers to reduce operational risk, improve incident outcomes, and continuously raise the bar for platform reliability and efficiency.
Team / Reporting This role sits within Platform Services and functions as a technical leader and escalation point across application teams, infrastructure, security, DevOps, and managed service partners.
The Lead System Analyst supports the Platform Services Manager by owning technical execution standards, guiding analysts and contractors, and translating platform risks, constraints, and trade-offs into actionable plans aligned with team strategy and business priorities.
Key Responsibilities 1) Platform Operations Leadership & Environment Readiness Own platform operational health and readiness outcomes across development, test, and production environments.
Establish, document, and enforce platform standards for configuration, readiness validation, and operational practices.
Review and guide system design, configuration, upgrades, and troubleshooting performed by analysts and partner resources.
Identify systemic risks and drive preventative improvements before issues impact production.
2) Reliability Engineering, Monitoring & Observability Define and govern monitoring, alerting, and observability standards to ensure high-quality, actionable telemetry.
Lead investigation and resolution of complex or cross-system incidents involving multiple teams.
Ensure root-cause findings translate into durable fixes and measurable reliability improvements.
Automation & Engineering Best Practices Develop and maintain automation scripts (PowerShell, Python, Bash) to reduce manual tasks and increase consistency across environments.
Lead automation initiatives using tools such as Ansible or Terraform where applicable; partner with platform teams to advance infrastructure-as-code and CI/CD integration.
4) AI-Enabled Operations (AIOps) & Copilot Enablement Evaluate and apply AI-driven features within observability/monitoring tooling to reduce alert noise, improve anomaly detection, and prioritize telemetry for faster triage.
Help operationalize intelligent dashboards and analytics that answer specific health and reliability questions for the portfolio and enable other teams to use them effectively.
Use Microsoft 365 Copilot to accelerate creation of runbooks, post-incident summaries, knowledge base articles, and stakeholder communications while maintaining accuracy and appropriate data handling.
Where appropriate and approved, contribute to building or refining internal copilots/agents (e.g., via Copilot Studio) to streamline support workflows and self-service access to operational knowledge.
5) Cross-Team Leadership & Stakeholder Partnership Act as a primary liaison across application teams, infrastructure, security, DevOps, and managed service providers.
Collaborate with business partners and application development teams to build, refine, test, secure, and debug system capabilities as needed.
Translate platform risks and constraints into clear, actionable guidance.
6) Incident Management & Continuous Improvement Serve as the escalation point for high-impact or recurring incidents.
Lead blameless post-incident reviews and own corrective action follow-through.6) Mentorship, Oversight & Knowledge Management Provide technical mentorship, peer review, and guidance.
Ensure knowledge is reusable, discoverable, and consistently applied.
7) Documentation & Knowledge Management Author and maintain system and process documentation (workflow charts, diagrams, system specifications).
Contribute to knowledge base content to support repeatable resolution of common issues and reduce escalations.
Required Qualifications Education Bachelor’s degree in computer science or related field.
Or equivalent work experience with desired systems and technologies Work Experience 7+ years of experience in analysis, configuration, and development on relevant platforms 5+ years of hands-on experience administering and automating Windows and Linux-based systems in large-scale enterprise environments.
3+ years in operations or reliability-focused role providing production support for business-critical, enterprise-grade platforms and applications.
Knowledge / Skills / Abilities Strong analytical and problem-solving skills to assess platform health, identify systemic risks, and drive preventative improvements.
Ability to independently design, standardize, and troubleshoot complex platform services spanning infrastructure, automation, monitoring, and operations.
Strong understanding of operational best practices including incident management, root-cause analysis, change management, and reliability engineering concepts.
Hands-on knowledge of automation and scripting techniques used to reduce operational toil and improve consistency (e.g., PowerShell, Python, Bash).
Working understanding of modern infrastructure and platform architectures, including hybrid and cloud-based environments, and differences between SaaS, PaaS, and onpremises deployments.
Excellent verbal and written communication skills; able to clearly articulate technical risks, trade-offs, and impacts to both technical teams and business or leadership audiences.
Strong interpersonal and relationship management skills, with the ability to influence cross-team outcomes without direct authority.
Ability to operate independently as a self-starter while also serving as a collaborative technical leader within a team-oriented environment.
Core Competencies Platform ownership mindset.
Technical leadership and influence.
Operational judgment and reliability focus.
Clear escalation and stakeholder communication.
Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position: $116,000.00
- $174,000.00 Annual The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.
This role is bonus and/or incentive eligible.
Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here .
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
Not Specified
A
Architect II - Cloud Infrastructure Services
Salary not disclosed
Pay Rate: $65.00/hr Responsibilities: Cloud & Infrastructure Architecture Design and implement the target-state Azure architecture aligned with company cloud standards and enterprise governance.
Define Azure landing zones, subscription strategy, management groups, identity integration, and network topology.
Architect hybrid connectivity between on-prem and Azure using ExpressRoute, VPN, and secure routing models.
Develop network segmentation, micro-segmentation, and Zero Trust architecture patterns.
Ensure high availability, resiliency, disaster recovery, and business continuity designs.
Migration Strategy & Execution Lead infrastructure discovery and dependency mapping for on-prem workloads.
Develop phased migration strategies (rehost, replatform, refactor).
Define cutover planning, rollback strategies, and coexistence models.
Collaborate with application teams for migration readiness and performance optimization.
Drive data center exit planning and decommissioning strategies.
Networking & Security Design Azure VNet architecture, hub-and-spoke topology, firewall strategy, and traffic inspection models.
Architect integration with Azure Firewall, load balancers, Application Gateway, Azure Front Door, and DNS.
Implement network security controls, NSGs, ASGs, UDRs, and conditional access models.
Align architecture with enterprise security policies and compliance requirements (HIPAA, SOC2, etc.).
Infrastructure & Platform Modernization Design Infrastructure-as-Code (Terraform, ARM, Bicep) frameworks.
Enable automation for provisioning and configuration management.
Architect monitoring and observability solutions using Azure Monitor, Log Analytics, Sentinel, etc.
Define backup, patching, and lifecycle management strategies in Azure.
Support container, Kubernetes (AKS), and platform services integration if applicable.
Governance & Operational Model Define cloud governance, cost management, tagging strategy, and FinOps alignment.
Collaborate with operations teams to transition to cloud operating model.
Document architecture standards, runbooks, and reference patterns.
Act as technical advisor to leadership and stakeholders.
Requirements: 10 years of experience in enterprise infrastructure and network architecture.
5 years of hands-on Azure architecture experience.
Proven experience leading large-scale data center to Azure cloud migrations.
Strong experience with Hybrid networking (ExpressRoute, VPN, BGP routing).
Enterprise firewall architectures, Azure landing zones, identity integration (Azure AD / Entra ID, AD hybrid).
DNS, IPAM, routing, load balancing.
Deep understanding of infrastructure security and Zero Trust principles.
Experience working in environments managed by third-party providers.
Define Azure landing zones, subscription strategy, management groups, identity integration, and network topology.
Architect hybrid connectivity between on-prem and Azure using ExpressRoute, VPN, and secure routing models.
Develop network segmentation, micro-segmentation, and Zero Trust architecture patterns.
Ensure high availability, resiliency, disaster recovery, and business continuity designs.
Migration Strategy & Execution Lead infrastructure discovery and dependency mapping for on-prem workloads.
Develop phased migration strategies (rehost, replatform, refactor).
Define cutover planning, rollback strategies, and coexistence models.
Collaborate with application teams for migration readiness and performance optimization.
Drive data center exit planning and decommissioning strategies.
Networking & Security Design Azure VNet architecture, hub-and-spoke topology, firewall strategy, and traffic inspection models.
Architect integration with Azure Firewall, load balancers, Application Gateway, Azure Front Door, and DNS.
Implement network security controls, NSGs, ASGs, UDRs, and conditional access models.
Align architecture with enterprise security policies and compliance requirements (HIPAA, SOC2, etc.).
Infrastructure & Platform Modernization Design Infrastructure-as-Code (Terraform, ARM, Bicep) frameworks.
Enable automation for provisioning and configuration management.
Architect monitoring and observability solutions using Azure Monitor, Log Analytics, Sentinel, etc.
Define backup, patching, and lifecycle management strategies in Azure.
Support container, Kubernetes (AKS), and platform services integration if applicable.
Governance & Operational Model Define cloud governance, cost management, tagging strategy, and FinOps alignment.
Collaborate with operations teams to transition to cloud operating model.
Document architecture standards, runbooks, and reference patterns.
Act as technical advisor to leadership and stakeholders.
Requirements: 10 years of experience in enterprise infrastructure and network architecture.
5 years of hands-on Azure architecture experience.
Proven experience leading large-scale data center to Azure cloud migrations.
Strong experience with Hybrid networking (ExpressRoute, VPN, BGP routing).
Enterprise firewall architectures, Azure landing zones, identity integration (Azure AD / Entra ID, AD hybrid).
DNS, IPAM, routing, load balancing.
Deep understanding of infrastructure security and Zero Trust principles.
Experience working in environments managed by third-party providers.
Not Specified
D
Systems Engineer - Azure
Salary not disclosed
Sr System Engineer Onsite at one of the following locations: Oak Ridge, TN; Germantown, MD: or Lemont, IL
**U.S Citizenship Required
** The Systems Engineer (Azure) will design, implement, and optimize cloud and hybrid infrastructure solutions within Microsoft Azure to support enterprise IT services and mission-critical workloads.
This role requires strong technical depth in Azure platform services, identity, automation, and infrastructure-as-code, combined with the ability to work across engineering, cybersecurity, and operations teams.
The engineer will contribute to the full system lifecycle — from requirements analysis and architecture design through secure integration, deployment, documentation, and transition to operations.
This position is ideal for someone who thrives in a hybrid cloud environment and can balance hands-on engineering with strategic planning and modernization initiatives.
#cjpost Design and implement Azure-based solutions including Virtual Networks, VNets peering, Azure Firewall, Application Gateways, Load Balancers, and hybrid connectivity (VPN/ExpressRoute).
Deploy and manage Azure compute services such as Virtual Machines, Azure Kubernetes Service (AKS), App Services, and serverless workloads.
Develop secure, scalable architectures aligned with enterprise cloud strategy and governance frameworks.
Implement Azure identity and access solutions including Azure AD, Conditional Access, Privileged Identity Management (PIM), and role-based access control (RBAC).
Engineer hybrid cloud integrations using Azure AD Connect, ExpressRoute, site-to-site VPNs, and hybrid identity models.
Support migration of on-premises workloads to Azure using tools such as Azure Migrate and ASR (Azure Site Recovery).
Collaborate with network and security teams to ensure seamless connectivity, segmentation, and compliance.
Automate provisioning, configuration, and operational tasks using PowerShell, Azure CLI, and Azure Automation.
Apply Azure security best practices including NSGs, ASGs, Defender for Cloud, Key Vault, and managed identities.
Ensure compliance with enterprise security baselines, cloud governance policies, and regulatory requirements.
Participate in security reviews, risk assessments, and architecture evaluations.
Monitor performance, availability, and cost using Azure Monitor, Log Analytics, Application Insights, and Cost Management.
Troubleshoot complex cloud and hybrid infrastructure issues, serving as an escalation point for operations teams.
Optimize cloud resource utilization, performance, and cost efficiency.
Produce architecture diagrams, configuration baselines, runbooks, and lifecycle documentation.
Support transition-to-operations activities including knowledge transfer, acceptance testing, and operational readiness reviews.
Maintain accurate documentation aligned with enterprise lifecycle and change management processes.
Minimum Qualifications Bachelor's Degree in Information Technology, Computer Science, other relevant field, or equivalent relevant experience; Master's Degree preferred.
Advanced computing certification preferred.
5–8 years of experience in systems engineering, with at least 3 years focused on Azure.
Other Job Specific Skills Experience working with IaC templates and Config Management tools.
Strong experience with Azure networking, compute, identity, and security services.
Proficiency with PowerShell, Azure CLI, and infrastructure-as-code tools.
Hands-on experience with hybrid cloud integrations and workload migrations.
Strong analytical and problem-solving skills with the ability to troubleshoot complex cloud issues.
Excellent communication skills and the ability to collaborate across engineering, operations, and cybersecurity teams.
A mindset focused on automation, modernization, and continuous improvement.
Ability to balance hands-on engineering with architectural thinking and long-term planning.
Preferred Certifications Microsoft Certified: Azure Administrator Associate (AZ‑104).
Microsoft Certified: Azure Solutions Architect Expert (AZ‑305).
Microsoft Certified: Azure Security Engineer (AZ‑500).
Terraform Associate or equivalent IaC certification (optional but valuable).
#cjpost
**U.S Citizenship Required
** The Systems Engineer (Azure) will design, implement, and optimize cloud and hybrid infrastructure solutions within Microsoft Azure to support enterprise IT services and mission-critical workloads.
This role requires strong technical depth in Azure platform services, identity, automation, and infrastructure-as-code, combined with the ability to work across engineering, cybersecurity, and operations teams.
The engineer will contribute to the full system lifecycle — from requirements analysis and architecture design through secure integration, deployment, documentation, and transition to operations.
This position is ideal for someone who thrives in a hybrid cloud environment and can balance hands-on engineering with strategic planning and modernization initiatives.
#cjpost Design and implement Azure-based solutions including Virtual Networks, VNets peering, Azure Firewall, Application Gateways, Load Balancers, and hybrid connectivity (VPN/ExpressRoute).
Deploy and manage Azure compute services such as Virtual Machines, Azure Kubernetes Service (AKS), App Services, and serverless workloads.
Develop secure, scalable architectures aligned with enterprise cloud strategy and governance frameworks.
Implement Azure identity and access solutions including Azure AD, Conditional Access, Privileged Identity Management (PIM), and role-based access control (RBAC).
Engineer hybrid cloud integrations using Azure AD Connect, ExpressRoute, site-to-site VPNs, and hybrid identity models.
Support migration of on-premises workloads to Azure using tools such as Azure Migrate and ASR (Azure Site Recovery).
Collaborate with network and security teams to ensure seamless connectivity, segmentation, and compliance.
Automate provisioning, configuration, and operational tasks using PowerShell, Azure CLI, and Azure Automation.
Apply Azure security best practices including NSGs, ASGs, Defender for Cloud, Key Vault, and managed identities.
Ensure compliance with enterprise security baselines, cloud governance policies, and regulatory requirements.
Participate in security reviews, risk assessments, and architecture evaluations.
Monitor performance, availability, and cost using Azure Monitor, Log Analytics, Application Insights, and Cost Management.
Troubleshoot complex cloud and hybrid infrastructure issues, serving as an escalation point for operations teams.
Optimize cloud resource utilization, performance, and cost efficiency.
Produce architecture diagrams, configuration baselines, runbooks, and lifecycle documentation.
Support transition-to-operations activities including knowledge transfer, acceptance testing, and operational readiness reviews.
Maintain accurate documentation aligned with enterprise lifecycle and change management processes.
Minimum Qualifications Bachelor's Degree in Information Technology, Computer Science, other relevant field, or equivalent relevant experience; Master's Degree preferred.
Advanced computing certification preferred.
5–8 years of experience in systems engineering, with at least 3 years focused on Azure.
Other Job Specific Skills Experience working with IaC templates and Config Management tools.
Strong experience with Azure networking, compute, identity, and security services.
Proficiency with PowerShell, Azure CLI, and infrastructure-as-code tools.
Hands-on experience with hybrid cloud integrations and workload migrations.
Strong analytical and problem-solving skills with the ability to troubleshoot complex cloud issues.
Excellent communication skills and the ability to collaborate across engineering, operations, and cybersecurity teams.
A mindset focused on automation, modernization, and continuous improvement.
Ability to balance hands-on engineering with architectural thinking and long-term planning.
Preferred Certifications Microsoft Certified: Azure Administrator Associate (AZ‑104).
Microsoft Certified: Azure Solutions Architect Expert (AZ‑305).
Microsoft Certified: Azure Security Engineer (AZ‑500).
Terraform Associate or equivalent IaC certification (optional but valuable).
#cjpost
Not Specified
T
GRC Automation Engineer
🏢 Talently
Salary not disclosed
Job Title: GRC Automation Engineer
Location: Hybrid in San Francisco/NYC or Remote
Salary: $140,000-$215,000
Skills: Compliance Automation, Scripting & API Development, Security Frameworks (SOC 2, ISO 27001, PCI DSS), Cloud Platforms (AWS), Data Governance
About the Company / The Opportunity
:Join a forward-thinking leader in the software industry as a GRC Automation Engineer on a mission to enhance global compliance and enterprise risk management. This role offers the opportunity to shape the next evolution of a robust GRC program, embedding security and data governance principles into the heart of the business. You’ll collaborate across teams to drive automation, uphold the highest standards of compliance and ethics, and leverage advanced technologies to improve organizational security posture in a growing SaaS environment
.
*If you are located within commuting distance of our San Francisco or New York City office this is a hybrid position (M/W/F in office). Otherwise this is a remote role anywhere in the United States with occasional travel to our H
Q.
Responsibiliti
- es:
Design and automate control testing and evidence collection to reduce manual effort and improve accuracy for compliance initiati - ves.Develop and maintain scripts and APIs across cloud infrastructure, endpoints, and SaaS platforms (e.g., AWS, GitHub, Okta) to interface with compliance to
- ols.Support recurring internal and external audits (SOC 2, ISO 27001, PCI DSS) by ensuring reliable control monitoring and remediat
- ion.Champion security, compliance, and data governance strategies, including data deletion, retention, and storage proces
- ses.Leverage AI/ML tools to enhance efficiency and drive improvements in GRC processes and overall compliance post
- ure.Define technical control requirements and collaborate with engineering teams to embed compliance checks into CI/CD and infrastructure deployment pipeli
nes.
Must-Have
- Skills:
Experience in scripting or automation focused on security, infrastructure, - or GRC.Proficiency in building API endpoints and command-line tools; experience working with structured data formats (JSON, CSV
- , YAML).Solid understanding of audit processes, evidence requirements, and remediation for security and compliance frameworks (SOC 2, ISO 27001, P
- CI DSS).Ability to automate audit and evidence gathering procedures within cloud and SaaS envir
- onments.Strong collaboration skills, able to work effectively with technical and non-technical teams to drive GRC init
iatives.
Nice-to-Hav
- e Skills:
Familiarity with software development and compliance platforms (e.g., Drata, Satori - , GitHub).Experience with AI/ML systems, open-source development, and frontend cloud tec
- hnologies.Knowledge of federal security frameworks such as FedRAMP or NIST (800-53, 800-
- 171, RMF).Security certifications (e.g., CIS
- A, CISSP).Exposure to large-scale SaaS, cloud, or infrastructure environments with glo
Not Specified
A
Java Developer (GC and USC only)
Salary not disclosed
Java/J2EE, Spring/Spring Boot, Hibernate, REST, Python and associated libraries RDBMS/SQL (MySQL) and NoSQL with SOAP/REST web services, JSON/XML, CI/CD Jenkins, GitHub, and Maven/Gradle.
AWS services, Docker, and cloud/deployment practices Teamwork, communication skills, engaging with stakeholders, technical teams, and management effective delivery of development, integration, and deployment tasks.
AWS services, Docker, and cloud/deployment practices Teamwork, communication skills, engaging with stakeholders, technical teams, and management effective delivery of development, integration, and deployment tasks.
Not Specified
E
AI Finance - Senior - Technology Consulting - Location Open
$250 +
Location: Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, LA, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orland, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Pleasanton, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Syracuse, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington DC, Westlake village, Winston-Salem
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Job Title: AI Finance - Senior - Tech Consulting - Location Open
Whole industries have been disrupted and transformed in recent years by changing technologies, advanced analytics and the need for better insight. EY is helping businesses realize the value they can gain from their IT investments. We deliver exceptional client service — providing advice on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, as well as how AI can act as a multiplying effect during major program transformations.
The opportunity
The AI Finance Senior will be building the future of AI-powered finance solutions—from autonomous variance analysis and intelligent forecasting to agentic workflow automation. This role sits at the intersection of consulting impact and true product engineering: your code doesn't disappear after a project ends—it ships, scales, and improves over time. You’ll work at the forefront of generative and agentic AI while learning how these technologies solve real finance problems—combining the innovation of a tech startup with the scale and impact of EY.
In this role, you will interact with business stakeholders to evaluate business models, processes, and operations. You will gather, understand, and analyze business requirements, translating them into technical specifications. Your expertise in specific technology platforms will be crucial in providing in-depth analysis related to implementation, customization, and optimization.
Your key responsibilities
The AI Finance Senior will work closely with finance, IT, and data science teams to develop and deploy agentic AI solutions that transform finance processes. You'll build autonomous AI agents and intelligent workflows using Machine Learning, Gen AI, and modern agentic frameworks to deliver scalable, production‑grade applications for leading global companies.
As a Senior Platform Business Analyst, you will play a pivotal role in bridging the gap between business needs and technical solutions. You will spend your time engaging with clients, analyzing their requirements, and collaborating with technical teams to design and deliver effective system architecture solutions. This role presents exciting challenges and opportunities for growth, as you will help clients maximize their investment in technology platforms through effective use and continuous improvement. Regular travel may be required to meet with clients and participate in project activities.
- Engage with business stakeholders to gather and analyze business requirements.
- Collaborate with technical teams to design and deliver system architecture solutions.
- Tailor technology platforms to align with business processes and objectives.
Skills and attributes for success
To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to build relationships and communicate effectively will be key to your success. Additionally, your analytical mindset will enable you to solve complex problems and drive outcomes.
- Building AI applications (React/Next.js front end, Python back end) integrating ML, GenAI, and agentic AI for finance use cases using state-of-the-art LLM frameworks
- Designing future-state Finance processes with agentic capabilities, including agent catalogs and hierarchies deployed across process areas
- Developing autonomous AI agents that orchestrate tools and execute complex workflows including data reconciliation, anomaly detection, root cause analysis, and automated report generation
- Supporting platform and data architecture strategy leveraging our Financial Data Intelligence (FDI) platform that integrates with LLM models and enables the agent workforce
- Designing and implementing data pipelines connecting finance applications to EPM systems, ERP platforms, and analytics environments
- Prototyping and validating new capabilities using emerging agentic AI frameworks through rapid experimentation
- Collaborating with product managers, data scientists, and finance domain experts to deliver client-facing solutions
- Strong understanding of technology platform methodologies and system configuration design.
- Proficiency in technology business architecture frameworks and requirements definition.
- Experience in conducting technology cost-benefit analysis and delivering training.
- Ability to manage client relationships and communicate with impact.
To qualify for the role, you must have
- A bachelor's degree and approximately three years of related work experience; or a graduate degree in the same and approximately two years of related work experience.
- Minimum of 2 years of experience in data management, with at least 1 year focused on finance application data, data modeling, financial modeling
- Experience with Machine Learning techniques, Gen AI technologies, and Azure data services (e.g., Azure Data Lake, Azure Synapse Analytics, MS SQL, Python)
- Strong understanding of data management principles, including data governance, data quality, and master data management
- Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow)
- Proficiency in data integration, data transformation, and data modeling tools and techniques
- Excellent communication, collaboration, and problem‑solving skills
- Ability to work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies
Ideally, you’ll also have
- Degree in Computer Science, Computer Engineering, Data Science, Information Systems, or related field
- Strong programming skills in Python or React/Next.js, plus at least one additional language (JavaScript, TypeScript, C++, R, SQL)
- Interest or experience in agentic AI, multi-agent systems, or autonomous task frameworks
- Web development experience with React, Next.js, TypeScript, REST APIs
- Cloud platform experience, preferably Azure (Azure OpenAI, Azure ML, Data Lake, App Services) or AWS
- Experience with AI/ML frameworks such as OpenCV, GPT APIs, LangChain, AutoGPT, scikit‑learn, TensorFlow, or PyTorch
- Exposure to finance, accounting, or business analytics through coursework, projects, or internships
- Familiarity with data tools such as Power BI, Tableau, Jupyter Notebooks, SQL databases
- Experience with finance systems including financial modeling, ERP systems (SAP, Oracle), or EPM platforms
- GitHub portfolio or technical projects demonstrating your work
What we look for
We seek individuals who are not only skilled but also possess a passion for technology and a commitment to delivering exceptional client service. Top performers demonstrate strong analytical abilities, creativity in problem-solving, and the capacity to collaborate effectively with diverse teams.
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $102,500 to $187,900. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $122,900 to $213,400. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .
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Not Specified
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Contracts Negotiator
$250 +
About Resolve AI
What You’ll Do
Why Join Resolve AI?
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At Resolve, we’re building Agentic AI that empowers software engineers by automating production engineering and SRE workflows. Our models deeply understand production systems — from code to databases — taking on repetitive, high-pressure tasks and handling critical incidents autonomously, so engineers can focus on building.
Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.
We raised a $35M Seed round from top-tier investors like Greylock, Unusual Ventures, Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn) and Fei Fei Li (Professor, Stanford).
Joining Resolve AI at this stage of our journey is a once-in-a-lifetime opportunity. You’ve already decided that you want to work at an AI-native company that’s pushing the limits of how engineers work, and now you’re looking for the right one.
What You’ll Do
As a Contracts Negotiator at Resolve AI, you’ll support our commercial motion by negotiating and closing a high volume of customer and vendor agreements. This role is focused on execution, speed, and consistency, while partnering closely with Legal and cross-functional teams to help the business scale responsibly.
Negotiate and close a high volume of customer and vendor contracts, supporting Resolve AI’s enterprise sales motion.
Draft, review, and negotiate NDAs, master agreements (MSAs/MSSAs), order forms, and other standard customer sales agreements, operating within established playbooks.
Partner with Sales, RevOps, Finance, Security, Procurement, and Legal to resolve contract questions and keep deals moving.
Own day-to-day contracting workflows, handling standard negotiations independently and escalating complex or novel issues as appropriate.
Build and maintain practical contracting resources, including fallback language, playbooks, templates, and approval workflows that drive speed and consistency.
Support improvements to contracting systems and processes, including CLM tooling, workflow automation, and cross-functional initiatives.
Translate contract terms and risk concepts into clear, actionable guidance so teams can make informed decisions and maintain momentum.
Track and share insights on contract volume, cycle times, and trends to help the team operate efficiently at scale.
Leverage AI and automation tools to improve contracting workflows, reduce cycle times, and increase consistency as the business grows.
What We're Looking For
4+ years of experience in commercial contracting, deal desk, contracts management, or legal operations, ideally in a high-growth SaaS or AI company.
Proven experience negotiating NDAs, MSAs, and customer-facing commercial agreements at scale.
Working knowledge of SaaS and AI contracting fundamentals, including privacy and data protection, security terms, IP, and AI-related considerations.
Curiosity and enthusiasm for new technologies, including experience supporting AI-driven products or leveraging AI tools in legal or contracting workflows.
Strong commercial judgment and the ability to balance risk with business momentum.
Clear, concise communicator comfortable engaging with internal stakeholders and external counterparties.
A builder mindset, excited to create structure and improve how contracts get done.
Comfort with ambiguity, ownership, and fast growth in an evolving environment.
Why Join Resolve AI?
Make a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations.
Shape Agentic AI’s Future: Help build the next frontier in enterprise software and define its transformative impact.
Own Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment.
Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.
Competitive Benefits: Competitive Pay Packages with full benefits including:
Comprehensive Medical, Dental, and Vision Insurance
Monthly Housing Stipend
Flexible (Unlimited) Paid Time Off
Visa Sponsorship & Immigration Support
401(k) Plan
Parental Leave
Discretionary Tech Benefit Stipend
Daily in-office Lunches and Dinners
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law.
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Not Specified
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Sr. Mobile Design Engineer
Salary not disclosed
We are seeking an experienced Senior Designer, Mobile Design Systems to join our Design System team. This role is crucial for enhancing brand and customer experience across the digital product portfolio. You will collaborate with a geo-distributed mobile native team, collaborating with multi-disciplinary experts and SMEs to deliver accelerated, brand-aligned, and accessible components at enterprise scale, as we expand our mobile Design System for designers and developers.
What You Can Expect:
- Work collaboratively with Brand, Design/Creative, Product, Accessibility, User Research, Analytics and Technology SMEs.
- Create and maintain mobile branding, themes, components, modules, patterns and templates as reusable libraries, test automations and documentation.
- Adhere to Prudential Brand, Design, Engineering and Accessibility guidelines and standards.
- Provide leadership on implementing and improving mobile platform coding standards, tools and workflow.
- Prioritize and orchestrate the work of others.
- Consult closely with Product teams who develop full mobile native applications.
What You'll Need:
- Must have experience in an agency environment or regulated industry (financial services preferred).
- Must possess at least 5 years of iOS and Android development experience. Use of React Native is mandatory; occasional lower-level Swift/Gradle interoperability is a plus.
- Must have experience coding, publishing and maintaining mobile libraries over several major versions.
- Have solid experience coding and supporting automated tests against UI libraries (Vitest/Jest preferred) and high-value journey flows (Appium or equivalent).
- Must have experience crafting accessible experiences including interactions with assistive technologies.
- Must have experience with Figma, possess strong design-thinking and be comfortable working in a design-led product development environment.
- Additional pluses include the use of Storybook, Figma Code Connect, BrowserStack/Saucelabs for visual and automated QA, mainstream AI agents, and Github Actions (or equivalent).
- Have experience mentoring junior associates and facilitating a “we win together” ethos.
Not Specified
GenAI Engineer/AWS Bedrock Developer Dallas, TX
$99,999 per day
AWS Bedrock Developer Dallas, TX
If you post this job on a job board, please do not use company name or salary.
Experience level: Mid-senior
Experience required: 10 Years
Education level: Bachelor’s degree
Job function: Information Technology
Industry: Information Technology and Services
Pay rate : $45 per hour
Total position: 1
Relocation assistance: No
Visa sponsorship eligibility: No
We are looking for a GenAI Engineer/AWS Bedrock Developer with a strong experience in Cloud Computing, specializing in AWS. The ideal candidate will have hands-on expertise with AWS Bedrock and a strong background in automating infrastructure for contact center transformation.
Job Description
- 10+ years of IT experience
- 7+ years of experience in AWS Cloud Computing
- Hands-on experience with AWS Bedrock for GenAI solutions
- Proven ability to transform Contact Center applications using GenAI
- Expertise in automating server and infrastructure provisioning using Terraform
- Strong experience with AWS Lambda, Step Functions, and SSO integrations
- Proficient in integrating on-premise systems with AWS Bedrock
If you post this job on a job board, please do not use company name or salary.
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