Terraform Githubrepository Jobs in Usa

Seed stage SaaS startup seeking local Swiss army knife engineer to take MVP to market adding agentic AI features This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $120,000
- $150,000 per year A bit about us: Enterprise technology sales cycles are often long and drawn out, with many stakeholders involved, differing incentives and priorities, and communication channels.

This startup thinks the deal should be treated like a project and managed leveraging all the data from all the places to improve efficiency and observability.

Every text, document, profile, call, email, slack message, note, etc.

should be used to improve, update, and adapt the project in harmony and this product aims to cut the fat and automate the fusion.

Why join us? Join the founding team of successful engineer-entrepreneurs significant equity negotiable base salary Job Details Job Details: We are seeking a dedicated and passionate Senior Software Engineer specializing in Agentic AI to join our early stage SaaS startup.

The successful candidate will play a pivotal role in developing and enhancing our innovative AI solutions; leveraging RAG, MCP, vector databases, LLMs, etc.

This is a permanent, full-time position.

You will be part of a collaborative team that is driving the future of technology services, pushing boundaries, and delivering cutting-edge solutions for our diverse clientele.

Currently stack is TypeScript, React, Node, PostgreSQL, AWS, pgvector, Delta Lake, ClickHouse, Terraform.

Looking into Pinecone, Weaviate, Python Responsibilities: Design, develop, and implement AI systems and solutions, focusing on Agentic AI principles.

Utilize Vector Database expertise to manage and optimize data handling processes.

Collaborate with cross-functional teams to understand requirements and develop AI solutions accordingly.

Drive continuous improvement initiatives, enhancing system performance, efficiency, and scalability.

Troubleshoot complex software issues, implementing robust and lasting solutions.

Stay updated with the latest industry trends and advancements in AI and machine learning.

Mentor junior engineers, fostering a collaborative and innovative team environment.

Ensure adherence to best coding practices, maintaining code quality and system security.

Participate in all phases of software development life cycle, including analysis, design, testing, and deployment.

Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field.

A Master's degree is preferred.

Minimum of 5 years of experience in software development, with a focus on AI and machine learning.

Proven experience with Vector Database is essential.

Strong knowledge of AI principles, machine learning algorithms, and data structures.

Proficiency in programming languages such as TypeScript, Python Excellent problem-solving skills, with the ability to troubleshoot complex software issues.

Strong understanding of software development methodologies and life cycles.

Excellent communication skills, with the ability to explain complex concepts to non-technical team members.

Demonstrated ability to work effectively in a team environment, collaborating with diverse teams.

Proven ability to manage multiple projects simultaneously, meeting deadlines and quality standards.

Strong desire to learn, grow, and stay updated with the latest industry trends and advancements.

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

Job Summary We are seeking a dynamic and highly skilled Network Security Engineer to join our team.

In this pivotal role, you will be responsible for designing, implementing, and maintaining robust network security measures across diverse IT infrastructure environments.

Your expertise will ensure the confidentiality, integrity, and availability of our organization's data and systems.

This position offers an exciting opportunity to work with cutting-edge security technologies, influence security policies, and respond proactively to emerging threats.

If you thrive in a fast-paced environment and are passionate about safeguarding digital assets, we want to hear from you! Description Hands-on Palo Alto design and Architecture, configuration, deploy and management experience Strong Network Security Framework knowledge and experience Strong Cisco ACI, Palo Alto Firewall, Fortinet (Replacing Cisco ASA) Microsoft Defender, Zscaler, Carbon Black Network: Replacing Switches, Vulnerability, VLAN, OSPF/BGP Network Security: Firewall (Palo Alto/Fortinet)
- Rules, Upgrades, VPN, Logs, DLP and SOC Some physical work at datacenter Duties Develop and enforce comprehensive network security strategies aligned with industry standards such as NIST and ISO 27000 to protect organizational assets.

Configure and manage network security devices including Cisco ASA firewalls, Cisco ISE for identity management, IDS/IPS systems for threat detection, and VPN solutions for secure remote access.

Conduct vulnerability assessments and penetration testing to identify potential weaknesses within LAN, WAN, SAN, and cloud infrastructure environments like AWS and Google Cloud Platform.

Monitor network traffic using SIEM tools such as Splunk or SolarWinds to detect suspicious activities, perform log analysis, and initiate incident response procedures promptly.

Implement system hardening techniques on operating systems including Linux (Debian, CentOS, Ubuntu), Windows, macOS, and UNIX variants to minimize attack surfaces.

Manage encryption protocols such as IPsec, SSL/TLS, PKI (Public Key Infrastructure), and FIPS standards to secure data in transit and at rest across diverse platforms.

Lead incident recovery efforts by executing disaster recovery plans, system security plans, and threat detection and response strategies in accordance with FISMA and FedRAMP compliance requirements.

Skills Extensive knowledge of computer networking concepts including LAN/WAN architecture, routing protocols (OSPF, BGP), TCP/IP stack, DHCP/DNS services, and network protocols.

Hands-on experience with firewall management (Cisco ASA), network support tools (SolarWinds, PRTG), load balancing solutions, and high availability configurations.

Proficiency in scripting languages such as Python or Bash for automation of security tasks and system administration activities.

Strong understanding of vulnerability management frameworks like DREAD or CVSS; experience with vulnerability research and assessment tools.

Familiarity with cloud computing platforms (AWS, Azure) including cloud architecture design principles for secure deployment.

Knowledge of identity and access management (IAM), RBAC policies, SSO integrations (Active Directory), LDAP directories, GPOs, and open-source tools like Ansible or Terraform for infrastructure automation.

Ability to analyze network traffic using tools like Fiddler or Wireshark; conduct computer forensics; implement system security hardening measures; perform threat intelligence analysis.

Understanding of compliance standards such as PCI DSS for payment systems; experience with incident management frameworks like ITIL; adherence to SDLC processes for secure software deployment.

Join us to be at the forefront of cybersecurity innovation! Your expertise will help shape resilient defenses against evolving cyber threats while advancing your career in a collaborative environment committed to excellence in information security.

Cisco ACI, Firewall Management

Hybrid work.

Great pay.

Big cloud impact This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $115,000
- $130,000 per year A bit about us: We are a highly respected financial services organization known for stability, employee growth, and our strong commitment to innovation.

As our cloud footprint continues to expand, we are investing heavily in building a modern hybrid cloud environment that supports business transformation across the company.

We’re seeking a Cloud Engineer who brings strong Azure expertise, hybrid cloud experience, and the ability to partner closely with both technical and business teams.

This role sits at the intersection of engineering and architecture — ideal for someone who is already performing architectural responsibilities or looking to grow into a Cloud Architect-level role.

You’ll work in a collaborative, Agile shared-services environment, helping drive cloud strategy, design modern infrastructure solutions, enable development teams, and evangelize cloud adoption across the organization.

If you want a hands-on role that also allows you to influence cloud direction, guide stakeholders, and contribute to long-term architectural roadmaps, this is an exciting opportunity.

Why join us? Up to $130K base salary 10% performance bonus 15% ESOP contribution (company-funded, 6-year vesting) Excellent benefits, strong work-life balance, and outstanding long-term growth potential Hybrid schedule: Tue/Wed/Thu in office, Mon/Fri remote (additional in-office days during onboarding/training) Job Details What You’ll Do Manage, monitor, and optimize the Azure cloud environment, ensuring availability, security, and performance.

Design, install, configure, and support hybrid cloud infrastructure and on-premises datacenter resources.

Collaborate with development and Scrum teams to plan compute, network, and deployment requirements.

Build and automate infrastructure using modern templates and IaC tools.

Optimize network and security infrastructure for Azure IaaS, PaaS, and SaaS services.

Create and maintain documentation for cloud and on-prem environments, ensuring repeatability and clarity.

Identify root causes behind connectivity, performance, or security issues and develop solutions.

Support the design and implementation of architectural cloud roadmaps.

Integrate cloud technologies into existing systems while ensuring alignment with technical and business goals.

Coordinate with vendors, service providers, and internal IT groups to resolve issues efficiently.

Participate in on-call rotation and occasional after-hours duties for critical events or maintenance.

Required Skills & Experience Bachelor’s degree in Computer Science or comparable field.

5+ years in computing or network infrastructure roles.

3+ years working in a cloud environment (Azure strongly preferred).

Demonstrated experience deploying, managing, and supporting cloud infrastructure.

Hands-on experience with IaC & automation (Terraform, ARM, Bicep, Puppet, Chef, Jenkins, Azure DevOps, etc.).

Strong background in hybrid environments, virtual networks, firewalls, load balancers, and cloud security.

Experience with monitoring tools, DevOps methodologies, and CI/CD workflows.

Ability to translate design requirements into automated, repeatable deployments.

Experience supporting IaaS/PaaS systems, virtual machines, cloud networking, and automation pipelines.

Strong troubleshooting, critical thinking, and performance tuning abilities.

Excellent communication skills — able to explain complex technical concepts to all audiences.

High customer-service orientation and ability to work cross-functionally.

Preferred Experience (Bonus Points) Azure or AWS certifications (Azure strongly preferred).

Microsoft Windows Server (2012/2016/2019).

Linux/Unix systems administration.

Cisco routing/switching experience (CCNA/CCNP a plus).

Palo Alto or equivalent cloud-based firewall technologies.

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

Job Summary Job Description Medline Industries, LP is seeking Sr.

Engineers IT Automation to join our team in Northbrook, IL.

Job Description Design, implement, and maintain a scalable, reliable, and secure Infrastructure Automation platform to support our cloud migration, software modernization and business objectives.

Deliver Continuous Integration and Continuous Delivery (CI/CD) solutions to serve customer, product, developer, and operations needs throughout the entire life cycle, to enable software engineering teams to increase the velocity of code and application releases.

Foster and evangelize a team culture where serving our platform customers is the primary mission, by continuously monitoring and analyzing customer feedback for platform related pain points and emphasizing with customer requests and requirements.

Develop and maintain automated build, deployment, and monitoring systems to ensure the platform’s availability and reliability.

Troubleshoot platform issues and work with the Engineering, Infrastructure, and Operations teams to resolve them.

Collaborate with Enterprise Architecture, Software Engineering, and Development teams to deliver self-service platform capabilities to improve the developer experience.

Collaborate with IT Operations and Network Operations Center to enable management and monitoring of cloud infrastructure and applications and deliver stable and fault tolerant solutions to achieve application availability targets.

Collaborate with Quality Assurance Automation team to incorporate automated testing for infrastructure and application deployment pipelines.

Partner with Compliance and Security teams to ensure infrastructure and applications meet compliance standards and are safe and secure against cybersecurity threats.

Participate in ITIL-based change, incident, and problem management processes for automation platform solutions.

Create and maintain documentation, including platform requirements, functional specifications, and operational procedures.

Assist with mentoring and coaching junior team members.

Use a business mindset to manage the platform expense and budget in the form of product show/charge backs, in partnership with the IT Finance Division.

Telecommuting is permitted, but applicant must work from the worksite location at least 3 days per week.

Job Requirements PRIMARY REQUIREMENTS: Bachelor’s degree in Computer Science, Computer Engineering, or related field, or the foreign equivalent, and 5 years of relevant work experience.

In addition, experience with the following skills is required: (1) Utilizing Scrum/Agile software development methodology and modern software delivery.

(2) Providing Azure core services and the Azure portal, including Azure subscriptions, resource groups, networking, compute, storage, backups, data analytics, security, identity, governance, and IaaS and PaaS.

(3) Provisioning and managing Windows and Linux servers with Terraform.

(4) Utilizing Jira and Confluence to enhance collaboration and streamline workflows.

(5) Utilizing infrastructure and Application Performance Monitoring tools to optimize the performance of the systems.

JOB SITE: 2375 Waterview Drive, Northbrook, IL 60062 WORK HOURS: Full Time (8am to 5pm, Monday to Friday) PAY RANGE: $153,317.00 to $153,317.00 per year 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.

Senior Back-End Engineer (Golang) – Strong Equity, Excellent Benefits, HealthTech Startup This Jobot Job is hosted by: Patrick Murphy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $180,000
- $225,000 per year A bit about us: We’re partnering with a fast-growing digital health startup that’s transforming how patients and caregivers navigate complex medical journeys.

Founded and led by individuals who’ve lived through those experiences firsthand alongside veteran technologists, oncologists, and healthcare innovators, this team combines heart and technical excellence.

They’re backed by top-tier venture capital and already generating revenue from major industry partnerships.

If you’re looking for meaningful work that blends cutting-edge tech with real human impact, this is one to take seriously.

Why join us? Compensation & Perks: $180K–$225K base salary (depending on experience).

Equity and comprehensive health benefits.

Hybrid schedule (2 days/week onsite in San Francisco’s Financial District).

Unlimited PTO and flexible work culture.

High-impact role as the first in-house backend engineer — immediate ownership and growth path.

Job Details About the Role The team is building out its core engineering group in San Francisco and hiring a Senior Back-End Engineer (Golang) to take ownership of their existing backend systems and drive them to production readiness.

You’ll be the first in-house backend hire, giving you both immediate technical impact and long-term leadership potential as the team scales.

What You’ll Do: Take ownership of an existing Golang codebase and evolve it toward production scalability.

Architect, manage, and optimize cloud infrastructure (AWS) using Infrastructure-as-Code.

Build and refine CI/CD pipelines and deployment automation.

Design and develop APIs and backend features that directly affect users’ health journeys.

Collaborate closely with engineering leadership and product teams to shape technical direction.

Champion reliability, performance, and code quality across the backend stack.

What We’re Looking For: 5+ years of professional experience, including 3+ years with Golang.

Hands-on experience with RESTful APIs and Infrastructure-as-Code (Terraform, CloudFormation, or Pulumi).

Strong background in cloud infrastructure (AWS, GCP, or Azure) and CI/CD (Docker, GitHub Actions, etc.).

Proven success taking products from development to production.

Bonus points for: microservices, Kubernetes, healthcare or data privacy experience (HIPAA), and startup environments.

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

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: $120,000
- $155,000 per year A bit about us: We are a forward-thinking enterprise software firm dedicated to solving complex business problems through elegant, practical solutions.

Built by professionals with firsthand industry experience, our team understands the challenges organizations face when systems fall short of ambition.

We partner closely with clients to architect, develop and deploy software that integrates seamlessly into existing environments—prioritizing clarity, speed and long-term value over unnecessary complexity.

Our focus on transparency and collaboration ensures we stand behind what we build and grow alongside our customers.

Why join us? We offer the full spectrum of comprehensive benefits including: health, dental, and vision insurance.

We also offer paid time off, short term disability, long term disability, life insurance and a 401k plan.

Job Details Overview We are seeking a Senior Software Engineer who is passionate about building creative, scalable, and reliable software solutions to solve complex business challenges.

You’ll join a collaborative and growing software team focused on, a platform that enables fast, secure, and dependable data replication for organizations worldwide.

He has empowered global enterprises to integrate data from diverse systems, delivering meaningful insights and operational efficiency across industries.

Key Responsibilities Collaborate as part of an agile engineering team to design, develop, and enhance core software products.

Translate software requirements into high-quality technical implementations.

Participate in 24x7 on-call support rotation (approximately once per month).

Troubleshoot and perform root cause analysis on customer-reported issues.

Document defects and coordinate timely resolutions.

Partner with cross-functional teams to ensure accuracy, reliability, and quality of deliverables.

Present technical topics and demonstrate functionality to internal and external stakeholders.

Evaluate emerging technologies and contribute to architectural decision-making.

Lead small teams in achieving development goals and mentor junior engineers.

Engage with and support the open-source community related to the platform.

Required Skills & Qualifications Bachelor’s degree in Computer Science, Mathematics, or a related field.

5+ years of software development experience, with full lifecycle exposure.

Proficiency in Java and Spring Framework.

Strong understanding of data storage principles and SQL database operations.

Experience with unit testing, CI/CD, Agile, and DevOps methodologies.

Commitment to writing clean, maintainable, and reusable code.

Excellent analytical, problem-solving, and communication skills.

Ability to work independently and collaboratively within a team.

Experience engaging directly with customers or end-users.

Preferred Skills & Experience Troubleshooting distributed enterprise applications.

Automating build processes using Gradle/Maven and GitHub Actions.

Building RESTful APIs.

Familiarity with cloud infrastructure technologies such as Kubernetes, Helm, and Terraform.

Experience deploying software to AWS, Azure, or Google Cloud Platform.

Monitoring using Prometheus and Grafana.

UI/UX development experience with the Vaadin framework.

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

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: $150,000
- $180,000 per year A bit about us: We are a fast-growth, well-funded software 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 customers love us, our product is in high demand and we’re growing quickly Our team has been remote since day one.

10% Annual Bonus, Unlimited PTO, WFH Stipend Comprehensive Healthcare and Dental Benefits Meaningful Equity and Options Job Details We are looking for a DevOps Engineer that is fluent with Kubernetes, cloud deployments and AWS.

The role involves understanding the customer’s high level application and translating it into lower-level cloud constructs, followed by executing that implementation using our platform.
*** MUST BE BASED IN THE US, MUST HAVE PREVIOUS EXPERIENCE IN A STARTUP ENVIRONMENT
*** Qualifications 6+ years of cloud architecture or DevOps experience, with an emphasis on the AWS suite of tools Sound knowledge of Kubernetes, ECS and similar container orchestration technologies.

Well-versed with containerized apps, migrations and modern CI/CD tools 3+ years of building Docker images across one or more stacks (Python, Node.js, Java, PHP, etc.) Hands on experience with Cloud Automation Tools like Terraform Experience with monitoring tools like Grafana, Prometheus and DataDog 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

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

Machine Learning Engineer
- Fulltime/Permanent REMOTE position This Jobot Job is hosted by: Dallas Gillespie Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $150,000
- $180,000 per year A bit about us: Full-time, fully remote position with excellent benefits Candidates must live in the PST or MDT time zones.

CST zone candidates will be considered.

EST Candidates are not eligible.

Why join us? We value you! Our impressive benefits package, bonus potential, and salary reflect that! Work somewhere you are recognized for your contributions! Apply Today! Job Details Minimum Education: Bachelor’s degree in computer science, artificial intelligence, informatics or closely related field.

Master’s degree in computer science, engineering or closely related field preferred.

Minimum Experience: 3 or more years of relevant Machine Learning Engineer Experience.

Proven experience with: Artificial intelligence and machine learning platforms (e.g., AWS, Azure or GCP).

Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).

CI/CD tools (e.g., Github Actions).

Programming languages and frameworks (e.g., Python, R, SQL).

MLOps engineering principles, agile methodologies, and DevOps life-cycle management.

Technical writing and documentation for AI/ML models and processes.

Healthcare data and machine learning use cases.

Healthcare Expertise: Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems.

REQUIRED qualifications: Experience in managing end-to-end ML lifecycle.

Experience in managing automation with Terraform.

Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).

CI/CD tools (e.g., Github Actions).

Programming languages and frameworks (e.g., Python, R, SQL).

Deep understanding of coding, architecture, and deployment processes Strong understanding of critical performance metrics.

Extensive experience in predictive modeling, LLMs, and NLP Exhibit the ability to effectively articulate the advantages and applications of the RAG framework with LLMs Accountabilities: Production Deployment and Model Engineering: Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability.

Scalable ML Infrastructures: Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure.

Engineering Leadership: Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions.

AI Pipeline Development: Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements.

Collaboration: Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.

Continuous Integration/Continuous Deployment (CI/CD) Pipelines: Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes.

Monitoring and Logging: Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance.

Version Control: Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration.

Security and Compliance: Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations.

Documentation: Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations.

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.

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Remote first / cloud-native data platforms This Jobot Job is hosted by: Katrina McFillin Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $165,000
- $190,000 per year A bit about us: Founded over a decade ago, we are a leading AI and data services partner helping global brands design, build, and run modern data and AI platforms on Snowflake and major cloud providers.

We specialize in data engineering, analytics, and managed services, combining deep technical expertise with a global delivery model to maximize business value from data.

Why join us? Competitive base compensation + bonus Remote first Comprehensive Benefits 4 weeks PTO + 10 holidays Accelerated learning and professional development with advanced training and certifications (e.g., Snowflake, cloud).

High-Impact Work: Join a specialized Elastic Operations team running mission-critical cloud data platforms for leading enterprises.

Autonomy & Collaboration: Work in a culture that prizes autonomy, creativity, transparency, and cross-functional collaboration.

Job Details Key Responsibilities and Duties: Lead the design, architecture, and implementation of large-scale cloud-native data platform solutions on Snowflake, AWS, and Azure.

Drive data migrations, integrations, and performance tuning across data warehouses, data lakes, and distributed systems to optimize reliability and cost.

Own platform security, data governance, and process engineering to ensure robust, scalable, and continuously improving data environments.

Manage multiple client engagements as a trusted advisor, collaborating with cross-functional teams and mentoring junior engineers to maximize platform ROI and customer success.

Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field (advanced degrees or relevant certifications are a plus).

At least 10 years of hands-on experience architecting, designing, implementing, and managing cloud-native data platforms (Snowflake, Redshift, Azure Data Warehouse) on AWS and/or Azure.

Proven client-facing consulting experience, including presenting to executive stakeholders and creating detailed solution documentation.

Strong technical depth in SQL, infrastructure-as-code (Terraform or CloudFormation), CI/CD (e.g., GitHub, Bitbucket), and modern data integration tools (e.g., AWS DMS, Azure Data Factory, Matillion, Fivetran, Spark) 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.

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DevOps Manager – Lead Databricks, AWS & Azure Cloud Strategy for a High-Growth Data-Driven Organization (Hybrid TX) This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $130,000
- $140,000 per year A bit about us: Our client is a fast-growing technology company advancing the way data, cloud, and AI infrastructure power enterprise operations.

With over a decade of innovation and a strong culture rooted in servant leadership, collaboration, and performance, the company is scaling its data and DevOps capabilities to support next-generation analytics and machine learning platforms.

They are seeking a DevOps Manager (Data & Cloud Engineering) to lead the team responsible for modernizing and expanding their cloud and data infrastructure across AWS and Azure.

This is a strategic, hands-on leadership role focused on Databricks, CI/CD automation, infrastructure-as-code, and AI-driven data modeling.

You’ll lead a cross-functional group of DevOps engineers, data engineers, and cloud architects — driving reliability, scalability, and performance across a high-impact environment.

Why join us? Lead and scale a multidisciplinary team integrating DevOps, Data Engineering, and Machine Learning Operations at enterprise scale.

Drive the evolution of a robust Databricks ecosystem, enabling advanced analytics, AI pipelines, and real-time data workflows.

Architect and automate cloud infrastructure across AWS and Azure to ensure performance, security, and cost efficiency.

Join a culture that prioritizes servant leadership, collaboration, and innovation in a high-growth environment.

Competitive compensation package including base salary, annual bonus, and equity, plus comprehensive family benefits and career advancement opportunities.

Job Details Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

7+ years of experience in DevOps, Cloud Infrastructure, or Data Engineering roles, with 3+ years in management or team leadership.

Deep hands-on experience with Databricks for large-scale data and ML workflows, including model orchestration, pipeline management, and optimization.

Experience fine-tuning or deploying Large Language Models (LLMs) using Databricks or similar frameworks.

Proven expertise in AWS and Azure cloud environments.

Strong proficiency in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps).

Expertise with Infrastructure-as-Code (Terraform, CloudFormation, or ARM templates).

Skilled in Python, Bash, or PowerShell for automation and deployment scripting.

Familiarity with Docker, Kubernetes, and container orchestration in production environments.

Experience managing data-centric environments supporting data lakes, machine learning, and real-time analytics.

Strong understanding of security, compliance, and governance frameworks (SOC 2, HIPAA, GDPR).

Preferred: Certifications such as AWS Certified DevOps Engineer or Azure DevOps Engineer Expert.

Experience with MLOps, streaming data, and cloud cost optimization.

Background in Agile/Scrum methodologies with tools like Jira or Asana.

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.

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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.

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DevOps Engineer
- Observability Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 At Uline, we count on reliable, resilient systems to keep up with our growth.

As a DevOps Engineer specialized in Observability, you’ll help drive that reliability by implementing modern monitoring, automation and orchestration practices that keep our systems performing at their best.

Careers Packed with Potential.

Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on.

Position Responsibilities Work with a modern observability stack (ElasticSearch, Prometheus/Thanos, OpenTelemetry, Grafana etc.) and help shape what comes next.

Build and automate infrastructure provisioning using Terraform, Kubernetes, GitHub Actions, ArgoCD, or similar tools.

Drive end-to-end visibility across distributed systems with real-time metrics, logs, traces, and SLO-based alerting.

Influence architecture decisions and help define best practices for performance, reliability, and incident response.

Minimum Requirements Bachelor's degree in information technology, computer science or a related field.

3+ years of hands-on experience with ElasticSearch or HashiCorp Vault with expertise in installation, configuration, support, log analysis and performance tuning.

3+ years of experience with Docker or Kubernetes container orchestration tools & IaC automation tools.

Experience with AI / ML in operations (AIOps) a plus.

Uline does not participate in the H1-B lottery.

Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs.

Paid holidays and generous paid time off.

Tuition Assistance Program that covers professional continuing education.

Employee Perks On-site café and first-class fitness center with complimentary personal trainers.

Over four miles of beautifully maintained walking trails.

About Uline Uline, a family-owned company, is North America’s leading distributor of shipping, industrial, and packaging materials with over 9,800 employees across 14 locations.

Uline is a drug-free workplace.

All new hires must complete a pre-employment hair follicle drug screening.

All positions are on-site.

EEO/AA Employer/Vet/Disabled #LI-SR1 #CORP (#IN-PPITL1) #ZR-HQIT Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!

Go Backend Engineer, Client Driven Startup, Great Benefits, Equity! This Jobot Job is hosted by: Patrick Murphy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $180,000
- $230,000 per year A bit about us: We’re partnering with a fast-growing digital health startup that’s transforming how patients and caregivers navigate complex medical journeys.

Founded and led by individuals who’ve lived through those experiences firsthand alongside veteran technologists, oncologists, and healthcare innovators, this team combines heart and technical excellence.

They’re backed by top-tier venture capital and already generating revenue from major industry partnerships.

If you’re looking for meaningful work that blends cutting-edge tech with real human impact, this is one to take seriously.

Why join us? Compensation & Perks: $180K–$230K base salary (depending on experience and fit, we are willing to go higher).

Equity and comprehensive health benefits.

Hybrid schedule (2 days/week onsite in San Francisco’s Financial District).

Unlimited PTO and flexible work culture.

High-impact role as the first in-house backend engineer — immediate ownership and growth path.

Job Details About the Role The team is building out its core engineering group in San Francisco and hiring a Senior Back-End Engineer (Golang) to take ownership of their existing backend systems and drive them to production readiness.

You’ll be the first in-house backend hire, giving you both immediate technical impact and long-term leadership potential as the team scales.

What You’ll Do: Take ownership of an existing Golang codebase and evolve it toward production scalability.

Architect, manage, and optimize cloud infrastructure (AWS) using Infrastructure-as-Code.

Build and refine CI/CD pipelines and deployment automation.

Design and develop APIs and backend features that directly affect users’ health journeys.

Collaborate closely with engineering leadership and product teams to shape technical direction.

Champion reliability, performance, and code quality across the backend stack.

What We’re Looking For: 5+ years of professional experience, including 3+ years with Golang.

Hands-on experience with RESTful APIs and Infrastructure-as-Code (Terraform, CloudFormation, or Pulumi).

Strong background in cloud infrastructure (AWS, GCP, or Azure) and CI/CD (Docker, GitHub Actions, etc.).

Proven success taking products from development to production.

Bonus points for: microservices, Kubernetes, healthcare or data privacy experience (HIPAA), and startup environments.

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.

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Join a World Class Team Operating at the Intersection of Technology, Data, and Digital Products 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: $155,000
- $175,000 per year A bit about us: Competitive salary and comprehensive benefits Long-term stability with continued investment in technology and engineering High-visibility work with real-world impact A collaborative, engineering-driven culture focused on quality and continuous improvement Why join us? Work on data and machine learning platforms operating at significant scale Own and influence core systems that power critical business capabilities Collaborate with experienced engineers and data scientists in a highly technical environment Tackle complex engineering challenges with modern cloud and MLOps tooling Enjoy the stability of a mature organization combined with the opportunity to modernize and innovate Job Details Senior Data Engineer Role Summary Join a high-performing engineering team at a large, global organization operating at the intersection of technology, data, and digital products.

We are seeking a highly motivated Senior Data Engineer to lead the architecture, deployment, and operation of next-generation, data-driven platforms.

In this role, you will bridge the gap between Data Science and Production Engineering, ensuring that datasets, machine learning models, and core services are deployed reliably, scalably, and securely in the cloud.

This is a high-impact position requiring deep expertise in data architecture, backend engineering, and the full machine learning lifecycle in production environments.

Key Responsibilities Data Pipeline Design & Orchestration Design, build, and maintain robust data ingestion and transformation pipelines Leverage modern orchestration tools to ensure reliable, observable data flows supporting machine learning workloads Core Development Write clean, efficient, and well-tested Python code for automation, infrastructure tooling, and service integration Develop shared libraries and glue services connecting cloud-native components API & Service Deployment Design, develop, and deploy high-performance Python APIs (FastAPI / Flask) to serve machine learning predictions and core application logic MLOps Pipeline Ownership Own end-to-end pipelines for continuous training, deployment, versioning, and monitoring of production ML models (e.g., recommendation or personalization systems) Infrastructure Management Architect and maintain scalable, fault-tolerant infrastructure using Kubernetes (GKE) within Google Cloud Platform Ensure reliability, performance, and cost efficiency across environments Collaboration & Mentorship Partner closely with data scientists, software engineers, and platform teams Provide technical leadership and mentorship to junior engineers Qualifications Must-Have (Engineering Excellence) 5+ years of professional experience in Data Engineering, Software Engineering, or Cloud Engineering Deep expertise in Python for application development, data processing, and automation Proven experience building and deploying production-grade backend services and APIs (FastAPI, Flask, or Django) Strong SQL skills with experience designing and optimizing schemas for relational and analytical data stores (e.g., BigQuery, Cloud SQL) Hands-on experience with data orchestration tools such as Dagster or Airflow Extensive experience designing and operating services within Google Cloud Platform (BigQuery, Pub/Sub, Vertex AI, Compute Engine) Expert-level knowledge of Docker and Kubernetes, including Helm-based deployments Nice-to-Have (DevOps & MLOps) Experience with Infrastructure as Code tools such as Terraform or Crossplane CI/CD experience using GitHub Actions or similar tooling Familiarity with observability stacks (Prometheus, Grafana, Cloud Logging) Understanding of cloud security principles and enterprise compliance requirements Direct experience supporting production MLOps workflows (model monitoring, drift detection, automated retraining) 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.

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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.

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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.

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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.

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

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: $100,000
- $120,000 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 Junior DevOps Engineer to join our growing infrastructure team and help support cloud environments for internal teams and external clients.

You’ll work closely with senior DevOps engineers, software engineers, and customer-facing teams to keep systems running smoothly while gradually taking on more ownership.

Expectations Support and maintain AWS infrastructure across multiple environments Assist with incident response, troubleshooting, and system monitoring Help manage and improve CI/CD pipelines Support containerized workloads using Kubernetes (interaction/ops level) Perform operational tasks: deployments, access management, backups, logging Collaborate with senior engineers to implement best practices in reliability and security Document processes, fixes, and learnings to improve team efficiency Qualifications 2 + years of professional experience in a DevOps, Cloud Infrastructure focused role.

Must have hands-on, production level experience with AWS Strong communication skills, able to work with both technical teams and clients Experience working with Kubernetes and Terraform in production.

Familiarity with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, etc.) Familiarity with Monitoring/logging tools (CloudWatch, Datadog, Prometheus, etc.) AWS certifications would be ideal (or actively working toward one) 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