Terraform Jobs in Usa
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J
Senior Data Engineer
🏢 Jobot
Salary not disclosed
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.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $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.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
S
Senior DevOps Engineer (AWS)
Salary not disclosed
We are rebuilding Tennis Channel’s digital experience from the ground up — mobile apps, TV apps, content management, analytics, monitoring, and eventually live and VOD video delivery.
AWS will be our core cloud platform.
We’re looking for an experienced Senior AWS Platform / DevOps Engineer to design, deploy, and operate the backbone of our new streaming platform.
You will own our AWS environment end-to-end: infrastructure, automation, observability, and security.
As our first DevOps hire, you’ll work directly with the Head of Engineering (ex-Amazon, ex-Prime Video) and a small, senior development team.
This is a hands-on role where you’ll set up environments, implement automation, enforce security best practices, and establish standards that future engineers will follow.
Along the way, you’ll help build a greenfield streaming platform with no legacy constraints, while making infrastructure decisions that will power experiences for millions of fans worldwide.
This is a unique opportunity to collaborate with proven leaders, shape the foundation of a new digital ecosystem, and play a pivotal role in the relaunch of Tennis Channel’s direct-to-consumer business.
This role is based in Seattle.
Key Responsibilities: Infrastructure & Automation Design, deploy, and manage AWS infrastructure: API Gateway, Lambda, ECS Fargate, Amazon RDS (PostgreSQL & MySQL/Aurora), DynamoDB, ElastiCache, S3, CloudFront, WAF, and Kinesis.
Implement Infrastructure as Code using AWS CDK (preferred) or Terraform.
Build and maintain CI/CD pipelines (GitHub Actions or AWS CodePipeline).
Security & Compliance Configure IAM roles, policies, and least-privilege access.
Implement and monitor CloudTrail, GuardDuty, Security Hub, WAF.
Enforce tagging, cost controls, and guardrails across environments.
Observability & Reliability Set up CloudWatch metrics, dashboards, and alarms.
Implement distributed tracing (AWS X-Ray) and log analytics (OpenSearch or equivalent).
Create synthetic canaries to validate key user flows (login, playback, API health).
Establish backup, recovery, and disaster recovery strategies.
Analytics & Data Implement data ingestion pipelines (e.g., Kinesis Firehose → S3 → Athena).
Deliver product dashboards with QuickSight or equivalent.
Video Delivery Extend infrastructure into AWS Media Services (MediaLive, MediaPackage, MediaConvert, MediaTailor) for live and VOD streaming.
Support secure, global video delivery through CloudFront and related services.
Required Qualifications: 5+ years of professional experience in AWS cloud infrastructure and DevOps Hands-on experience with Amazon RDS (PostgreSQL & MySQL) in production: deployment, performance tuning, backups, upgrades, and security Strong background with core AWS services: API Gateway, Lambda, ECS Fargate, DynamoDB, S3, CloudFront, WAF, ElastiCache Proficient with Infrastructure as Code (AWS CDK strongly preferred; Terraform/CloudFormation acceptable with willingness to switch) Skilled in CI/CD pipelines (GitHub Actions, CodePipeline, or Jenkins) Strong grasp of IAM, VPC networking, and AWS security best practices Experience with observability: CloudWatch, X-Ray, logging pipelines, and alerting Proficiency in scripting languages (Python, Bash) Strong communication and documentation skills; able to work independently in a small, fast-moving team Nice to have: Experience deploying and scaling a headless CMS (Strapi, Contentful, Sanity, etc.) Familiarity with streaming video architectures Knowledge of analytics pipelines (Kinesis, Athena, QuickSight) AWS certifications (Solutions Architect, SysOps, DevOps Engineer) Tennis Channel is proud to be equal opportunity employer and a drug free workplace.
Employment practices will not be influenced or affected by virtue of an applicant's or employee's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, military or veteran status or any other characteristic protected by law.
About PickleballTV Pickleballtv (PBTV) is the 24-hour television home of America’s fastest growing sport.
With coverage of tournaments throughout the year, the network offers 1,000+ hours of live matches from the game’s top professionals and biggest stars.
PBTV also provides viewers with first-class instruction, exclusive lifestyle programming and studio news content and more.
About Tennis Channel Tennis Channel is the media home to two twenty-four-hour television networks, a subscription streaming service, online magazine and podcasts dedicated to the sport and its unique lifestyle.
The tennis-media hub is home to every aspect of the wide-ranging, worldwide tennis community.
Tennis Channel is carried nationwide by every one of the top ten pay-TV service providers.
About Sinclair Sinclair, Inc.
(Nasdaq: SBGI) is a diversified media company and a leading provider of local news and sports.
The Company owns, operates and/or provides services to 178 television stations in 81 markets affiliated with all major broadcast networks; owns Tennis Channel, the premium destination for tennis enthusiasts; multicast networks CHARGE, Comet, ROAR and The Nest.
Sinclair’s AMP Media produces a growing portfolio of digital content and original podcasts.
Additional information about Sinclair can be found at .
About the Team The life-blood of our organization is our people.
We have a compelling story, a goal-oriented culture, and we take really good care of people.
How good? Here is a glimpse: great benefits, open-door policy, upward mobility and a strong desire to see you succeed.
Ready to be part of a winning team? Let’s talk.
The base salary compensation range for this role is $140,000 to $170,000.
Final compensation for this role will be determined by various factors such as a candidates’ relevant work experience, skills, certifications, and geographic location.
Full time positions are eligible for benefits that include participation in a retirement plan, life and disability insurance, health, dental and vision plans, flexible spending accounts, sick leave, vacation time, personal time, parental leave and employee stock purchase plan.
#tennis
AWS will be our core cloud platform.
We’re looking for an experienced Senior AWS Platform / DevOps Engineer to design, deploy, and operate the backbone of our new streaming platform.
You will own our AWS environment end-to-end: infrastructure, automation, observability, and security.
As our first DevOps hire, you’ll work directly with the Head of Engineering (ex-Amazon, ex-Prime Video) and a small, senior development team.
This is a hands-on role where you’ll set up environments, implement automation, enforce security best practices, and establish standards that future engineers will follow.
Along the way, you’ll help build a greenfield streaming platform with no legacy constraints, while making infrastructure decisions that will power experiences for millions of fans worldwide.
This is a unique opportunity to collaborate with proven leaders, shape the foundation of a new digital ecosystem, and play a pivotal role in the relaunch of Tennis Channel’s direct-to-consumer business.
This role is based in Seattle.
Key Responsibilities: Infrastructure & Automation Design, deploy, and manage AWS infrastructure: API Gateway, Lambda, ECS Fargate, Amazon RDS (PostgreSQL & MySQL/Aurora), DynamoDB, ElastiCache, S3, CloudFront, WAF, and Kinesis.
Implement Infrastructure as Code using AWS CDK (preferred) or Terraform.
Build and maintain CI/CD pipelines (GitHub Actions or AWS CodePipeline).
Security & Compliance Configure IAM roles, policies, and least-privilege access.
Implement and monitor CloudTrail, GuardDuty, Security Hub, WAF.
Enforce tagging, cost controls, and guardrails across environments.
Observability & Reliability Set up CloudWatch metrics, dashboards, and alarms.
Implement distributed tracing (AWS X-Ray) and log analytics (OpenSearch or equivalent).
Create synthetic canaries to validate key user flows (login, playback, API health).
Establish backup, recovery, and disaster recovery strategies.
Analytics & Data Implement data ingestion pipelines (e.g., Kinesis Firehose → S3 → Athena).
Deliver product dashboards with QuickSight or equivalent.
Video Delivery Extend infrastructure into AWS Media Services (MediaLive, MediaPackage, MediaConvert, MediaTailor) for live and VOD streaming.
Support secure, global video delivery through CloudFront and related services.
Required Qualifications: 5+ years of professional experience in AWS cloud infrastructure and DevOps Hands-on experience with Amazon RDS (PostgreSQL & MySQL) in production: deployment, performance tuning, backups, upgrades, and security Strong background with core AWS services: API Gateway, Lambda, ECS Fargate, DynamoDB, S3, CloudFront, WAF, ElastiCache Proficient with Infrastructure as Code (AWS CDK strongly preferred; Terraform/CloudFormation acceptable with willingness to switch) Skilled in CI/CD pipelines (GitHub Actions, CodePipeline, or Jenkins) Strong grasp of IAM, VPC networking, and AWS security best practices Experience with observability: CloudWatch, X-Ray, logging pipelines, and alerting Proficiency in scripting languages (Python, Bash) Strong communication and documentation skills; able to work independently in a small, fast-moving team Nice to have: Experience deploying and scaling a headless CMS (Strapi, Contentful, Sanity, etc.) Familiarity with streaming video architectures Knowledge of analytics pipelines (Kinesis, Athena, QuickSight) AWS certifications (Solutions Architect, SysOps, DevOps Engineer) Tennis Channel is proud to be equal opportunity employer and a drug free workplace.
Employment practices will not be influenced or affected by virtue of an applicant's or employee's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, military or veteran status or any other characteristic protected by law.
About PickleballTV Pickleballtv (PBTV) is the 24-hour television home of America’s fastest growing sport.
With coverage of tournaments throughout the year, the network offers 1,000+ hours of live matches from the game’s top professionals and biggest stars.
PBTV also provides viewers with first-class instruction, exclusive lifestyle programming and studio news content and more.
About Tennis Channel Tennis Channel is the media home to two twenty-four-hour television networks, a subscription streaming service, online magazine and podcasts dedicated to the sport and its unique lifestyle.
The tennis-media hub is home to every aspect of the wide-ranging, worldwide tennis community.
Tennis Channel is carried nationwide by every one of the top ten pay-TV service providers.
About Sinclair Sinclair, Inc.
(Nasdaq: SBGI) is a diversified media company and a leading provider of local news and sports.
The Company owns, operates and/or provides services to 178 television stations in 81 markets affiliated with all major broadcast networks; owns Tennis Channel, the premium destination for tennis enthusiasts; multicast networks CHARGE, Comet, ROAR and The Nest.
Sinclair’s AMP Media produces a growing portfolio of digital content and original podcasts.
Additional information about Sinclair can be found at .
About the Team The life-blood of our organization is our people.
We have a compelling story, a goal-oriented culture, and we take really good care of people.
How good? Here is a glimpse: great benefits, open-door policy, upward mobility and a strong desire to see you succeed.
Ready to be part of a winning team? Let’s talk.
The base salary compensation range for this role is $140,000 to $170,000.
Final compensation for this role will be determined by various factors such as a candidates’ relevant work experience, skills, certifications, and geographic location.
Full time positions are eligible for benefits that include participation in a retirement plan, life and disability insurance, health, dental and vision plans, flexible spending accounts, sick leave, vacation time, personal time, parental leave and employee stock purchase plan.
#tennis
Not Specified
J
Platform Architect Manager - Cloud Data Solutions
🏢 Jobot
Salary not disclosed
Lead new Cloud Platform team
- Hybrid in The Woodlands This Jobot Job is hosted by: Chuck Wirtz Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $170,000 per year A bit about us: As a leader in our industry, we serve 40+ states across the country and handle immense amounts of data.
Why join us? We are moving to the Cloud and started an internal team about a year ago.
Now that we have established where and how we want to utilize the data, we are ready to bring on an experienced Platform Architect to build and optimize our platforms and workflows.
This is an on-site 4x/week opportunity in The Woodlands, offering great bonuses, stock, and comprehensive benefit programs.
Job Details AWS Databricks ETL Glue Terraform CI/CD AI/ML Polly/Transcribe/Bedrock SOC2/HIPPA/GDPR Python/Bash Docker/Kubernetes No C2C or sponsorship Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
- Hybrid in The Woodlands This Jobot Job is hosted by: Chuck Wirtz Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $170,000 per year A bit about us: As a leader in our industry, we serve 40+ states across the country and handle immense amounts of data.
Why join us? We are moving to the Cloud and started an internal team about a year ago.
Now that we have established where and how we want to utilize the data, we are ready to bring on an experienced Platform Architect to build and optimize our platforms and workflows.
This is an on-site 4x/week opportunity in The Woodlands, offering great bonuses, stock, and comprehensive benefit programs.
Job Details AWS Databricks ETL Glue Terraform CI/CD AI/ML Polly/Transcribe/Bedrock SOC2/HIPPA/GDPR Python/Bash Docker/Kubernetes No C2C or sponsorship Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Director of Site Reliability Engineering
🏢 Jobot
Salary not disclosed
This Jobot Job is hosted by: Merwan Zattam Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $220,000
- $260,000 per year A bit about us: We are a mission-driven organization dedicated to making AI adoption safe and secure for enterprises worldwide.
As the leading provider of Security for AI, our platform protects agentic, generative, and predictive AI applications across the entire lifecycle—safeguarding intellectual property, ensuring compliance, and enabling organizations to innovate with confidence.
Our team was founded by cybersecurity and machine learning veterans who experienced a real adversarial AI attack firsthand.
That moment led to the creation of a new category focused entirely on protecting machine learning systems from threats such as prompt injection, adversarial manipulation, model theft, and supply chain compromise.
Backed by strategic investors including Microsoft’s Venture Fund (M12), Moore Strategic Ventures, Booz Allen Ventures, IBM Ventures, and Capital One Ventures, we combine patented technology with industry-leading research to defend the world’s most critical AI systems.
Recognized by Gartner as a “Cool Vendor for AI Security” and trusted by Fortune 500 organizations, government agencies, and enterprises across highly regulated industries, we are shaping the future of AI security in real time.
With strong product–market fit and rapid growth, this is an opportunity to join a generational company at a true inflection point—where the mission is bold, the bar is high, and the room for impact and growth is unmatched.
Why join us? Top Benefits of Working Here Be part of a new, fast-growing category Work at the forefront of AI security, an emerging space with massive demand and almost no competition.
High-impact mission Your work protects mission-critical AI systems for Fortune 500 companies, government agencies, and regulated industries.
Cutting-edge engineering Tackle challenges in AI/ML security, adversarial defense, model protection, and large-scale distributed systems.
Backed by top-tier investors Strong funding and stability from groups like Microsoft’s venture fund, IBM Ventures, and others.
Build from the ground up Shape the SRE, platform, and reliability culture—this is not a legacy environment.
High autonomy & ownership Influence roadmap, architecture, tooling, and direction.
Your work is visible and meaningful.
Fully remote, U.S.-based Flexibility, work-life balance, and a high-performance culture.
Competitive pay + real equity upside Top-tier compensation with equity at a company in a hyper-growth phase.
Elite team & steep career growth Collaborate with seasoned leaders in cybersecurity, ML, and enterprise infrastructure—and grow as the company grows.
Job Details Director of Site Reliability Engineering Remote – United States We are seeking a Director of Site Reliability Engineering to lead the broader Platform Engineering organization with a strategic focus on building a world-class SRE function.
Reporting to the VP of Engineering, you will be responsible for the reliability, scalability, and operational excellence of the mission-critical AI security platform used by enterprises and government organizations worldwide.
In this senior leadership role, you will define the SRE strategy, mentor and scale a high-performing team, and implement the systems, practices, and culture required to support rapid growth.
You will work at the intersection of cutting-edge AI security technology and enterprise-grade infrastructure, ensuring the platform delivers the always-on performance our customers depend on.
Your work will directly strengthen the security posture of organizations protecting their most valuable AI assets—from financial institutions and healthcare providers to government and Fortune 500 enterprises.
What You’ll Do Build and Lead the SRE Function Define and execute the SRE strategy and roadmap, positioning reliability as a core product feature Build, mentor, and scale a high-performing SRE and Platform Engineering team Establish SRE principles, culture, and best practices across engineering Create clear career development paths and raise the bar for hiring and excellence Drive Platform Reliability & Operational Excellence Own reliability, availability, latency, and performance across multi-cloud, multi-region deployments (AWS, Azure, GCP) Set and achieve SLOs/SLIs aligned with business objectives Architect multi-region resiliency: automated failover, graceful degradation, and disaster recovery Build robust observability: distributed tracing, metrics, logging, and actionable alerting Lead incident management: on-call processes, incident command, blameless post-mortems, and systematic remediation Enable Developer Velocity & Platform Excellence Own CI/CD pipelines and deployment infrastructure for safe, fast, reliable delivery Build internal developer platforms and tooling that reduce toil and improve productivity Implement progressive delivery (canaries, feature flags, automated rollbacks) Partner with engineering teams to embed reliability requirements and design patterns early in development Security, Compliance & Enterprise Requirements Ensure alignment with standards such as FedRAMP, SOC 2, ISO 27001, and other regulatory requirements Build and support air-gapped and on-premises deployment capabilities Implement infrastructure security controls, secrets management, and audit logging Support customer-facing SLAs and maintain trust with enterprise and government clients Scale & Optimize the Platform Lead capacity planning and performance engineering for platform growth Drive chaos engineering and resilience testing to validate system behavior under failure Optimize cost while maintaining reliability and performance Automate operational workflows to eliminate toil and improve efficiency What You Bring Leadership & Experience 8+ years in infrastructure, platform engineering, or SRE roles 4+ years in engineering leadership Experience supporting mission-critical, always-on systems at enterprise scale Strong people leadership and a track record of building high-performing teams Technical Expertise Deep knowledge of cloud infrastructure (AWS, Azure, GCP) and multi-region systems Strong experience with Kubernetes, Docker, and infrastructure-as-code (Terraform, Pulumi, CloudFormation) Proven ability to build and operate large-scale distributed systems Expertise in observability tooling (Prometheus, Grafana, Datadog, New Relic, ELK/EFK, distributed tracing) Proficiency in Python, Go, or similar languages Understanding of databases, data pipelines, message queues, and caching systems Strategic & Operational Skills Experience driving SRE strategy, SLOs/SLIs, error budgets, and incident management Ability to partner across engineering, product, security, and customer success Strong communication skills across technical and non-technical audiences Pragmatic problem-solving and sound decision-making Bonus Experience Background in cybersecurity or AI/ML infrastructure Familiarity with compliance frameworks (FedRAMP, SOC 2, ISO 27001, NIST) Experience supporting air-gapped or on-premise deployments Hands-on experience with chaos engineering and game day exercises Open-source contributions or SRE community leadership Why This Opportunity Stands Out Impact: Define reliability strategy for a category-leading AI security platform Growth: Build and scale the SRE function from the ground up in a fast-growing, well-funded environment Mission: Work on technology that is shaping the future of secure AI adoption Team: Join a world-class engineering organization with deep roots in security, ML, and distributed systems Innovation: Solve novel problems at the intersection of AI, security, and infrastructure Flexibility: Fully remote role with competitive compensation, equity, and benefits Location & Work Environment This is a fully remote position within the United States.
We value flexibility, ownership, collaboration, and excellence.
The team operates across time zones with a blend of async communication, regular syncs, and purposeful in-person gatherings.
Equal Opportunity We are an equal opportunity employer and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any legally protected status.
We are committed to fostering an inclusive environment where all team members can thrive.
If you need accommodations during the application or interview process, please let us know.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $220,000
- $260,000 per year A bit about us: We are a mission-driven organization dedicated to making AI adoption safe and secure for enterprises worldwide.
As the leading provider of Security for AI, our platform protects agentic, generative, and predictive AI applications across the entire lifecycle—safeguarding intellectual property, ensuring compliance, and enabling organizations to innovate with confidence.
Our team was founded by cybersecurity and machine learning veterans who experienced a real adversarial AI attack firsthand.
That moment led to the creation of a new category focused entirely on protecting machine learning systems from threats such as prompt injection, adversarial manipulation, model theft, and supply chain compromise.
Backed by strategic investors including Microsoft’s Venture Fund (M12), Moore Strategic Ventures, Booz Allen Ventures, IBM Ventures, and Capital One Ventures, we combine patented technology with industry-leading research to defend the world’s most critical AI systems.
Recognized by Gartner as a “Cool Vendor for AI Security” and trusted by Fortune 500 organizations, government agencies, and enterprises across highly regulated industries, we are shaping the future of AI security in real time.
With strong product–market fit and rapid growth, this is an opportunity to join a generational company at a true inflection point—where the mission is bold, the bar is high, and the room for impact and growth is unmatched.
Why join us? Top Benefits of Working Here Be part of a new, fast-growing category Work at the forefront of AI security, an emerging space with massive demand and almost no competition.
High-impact mission Your work protects mission-critical AI systems for Fortune 500 companies, government agencies, and regulated industries.
Cutting-edge engineering Tackle challenges in AI/ML security, adversarial defense, model protection, and large-scale distributed systems.
Backed by top-tier investors Strong funding and stability from groups like Microsoft’s venture fund, IBM Ventures, and others.
Build from the ground up Shape the SRE, platform, and reliability culture—this is not a legacy environment.
High autonomy & ownership Influence roadmap, architecture, tooling, and direction.
Your work is visible and meaningful.
Fully remote, U.S.-based Flexibility, work-life balance, and a high-performance culture.
Competitive pay + real equity upside Top-tier compensation with equity at a company in a hyper-growth phase.
Elite team & steep career growth Collaborate with seasoned leaders in cybersecurity, ML, and enterprise infrastructure—and grow as the company grows.
Job Details Director of Site Reliability Engineering Remote – United States We are seeking a Director of Site Reliability Engineering to lead the broader Platform Engineering organization with a strategic focus on building a world-class SRE function.
Reporting to the VP of Engineering, you will be responsible for the reliability, scalability, and operational excellence of the mission-critical AI security platform used by enterprises and government organizations worldwide.
In this senior leadership role, you will define the SRE strategy, mentor and scale a high-performing team, and implement the systems, practices, and culture required to support rapid growth.
You will work at the intersection of cutting-edge AI security technology and enterprise-grade infrastructure, ensuring the platform delivers the always-on performance our customers depend on.
Your work will directly strengthen the security posture of organizations protecting their most valuable AI assets—from financial institutions and healthcare providers to government and Fortune 500 enterprises.
What You’ll Do Build and Lead the SRE Function Define and execute the SRE strategy and roadmap, positioning reliability as a core product feature Build, mentor, and scale a high-performing SRE and Platform Engineering team Establish SRE principles, culture, and best practices across engineering Create clear career development paths and raise the bar for hiring and excellence Drive Platform Reliability & Operational Excellence Own reliability, availability, latency, and performance across multi-cloud, multi-region deployments (AWS, Azure, GCP) Set and achieve SLOs/SLIs aligned with business objectives Architect multi-region resiliency: automated failover, graceful degradation, and disaster recovery Build robust observability: distributed tracing, metrics, logging, and actionable alerting Lead incident management: on-call processes, incident command, blameless post-mortems, and systematic remediation Enable Developer Velocity & Platform Excellence Own CI/CD pipelines and deployment infrastructure for safe, fast, reliable delivery Build internal developer platforms and tooling that reduce toil and improve productivity Implement progressive delivery (canaries, feature flags, automated rollbacks) Partner with engineering teams to embed reliability requirements and design patterns early in development Security, Compliance & Enterprise Requirements Ensure alignment with standards such as FedRAMP, SOC 2, ISO 27001, and other regulatory requirements Build and support air-gapped and on-premises deployment capabilities Implement infrastructure security controls, secrets management, and audit logging Support customer-facing SLAs and maintain trust with enterprise and government clients Scale & Optimize the Platform Lead capacity planning and performance engineering for platform growth Drive chaos engineering and resilience testing to validate system behavior under failure Optimize cost while maintaining reliability and performance Automate operational workflows to eliminate toil and improve efficiency What You Bring Leadership & Experience 8+ years in infrastructure, platform engineering, or SRE roles 4+ years in engineering leadership Experience supporting mission-critical, always-on systems at enterprise scale Strong people leadership and a track record of building high-performing teams Technical Expertise Deep knowledge of cloud infrastructure (AWS, Azure, GCP) and multi-region systems Strong experience with Kubernetes, Docker, and infrastructure-as-code (Terraform, Pulumi, CloudFormation) Proven ability to build and operate large-scale distributed systems Expertise in observability tooling (Prometheus, Grafana, Datadog, New Relic, ELK/EFK, distributed tracing) Proficiency in Python, Go, or similar languages Understanding of databases, data pipelines, message queues, and caching systems Strategic & Operational Skills Experience driving SRE strategy, SLOs/SLIs, error budgets, and incident management Ability to partner across engineering, product, security, and customer success Strong communication skills across technical and non-technical audiences Pragmatic problem-solving and sound decision-making Bonus Experience Background in cybersecurity or AI/ML infrastructure Familiarity with compliance frameworks (FedRAMP, SOC 2, ISO 27001, NIST) Experience supporting air-gapped or on-premise deployments Hands-on experience with chaos engineering and game day exercises Open-source contributions or SRE community leadership Why This Opportunity Stands Out Impact: Define reliability strategy for a category-leading AI security platform Growth: Build and scale the SRE function from the ground up in a fast-growing, well-funded environment Mission: Work on technology that is shaping the future of secure AI adoption Team: Join a world-class engineering organization with deep roots in security, ML, and distributed systems Innovation: Solve novel problems at the intersection of AI, security, and infrastructure Flexibility: Fully remote role with competitive compensation, equity, and benefits Location & Work Environment This is a fully remote position within the United States.
We value flexibility, ownership, collaboration, and excellence.
The team operates across time zones with a blend of async communication, regular syncs, and purposeful in-person gatherings.
Equal Opportunity We are an equal opportunity employer and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any legally protected status.
We are committed to fostering an inclusive environment where all team members can thrive.
If you need accommodations during the application or interview process, please let us know.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Senior Software Engineer (Java / K8's)
🏢 Jobot
Salary not disclosed
Join one of the most stable and fast growing startups in Columbus, OH as a Senior Software Engineer specializing in Java, Spring, K8's, Terraform and API development! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $140,000
- $170,000 per year A bit about us: We are on the hunt for an innovative and seasoned Senior Software Engineer with a focus on Java and Kubernetes (K8's) to join our dynamic Tech Services team.
This is a permanent, full-time role that offers an exciting opportunity to work with our cutting-edge technology stack, solve complex problems, and contribute to our high-performing team.
The ideal candidate will have a deep understanding of modern software development methodologies and be well-versed in the technical landscape of API's, SQL, DevOps, Terraform, Distributed System Development, and Spring.
Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: As a Senior Software Engineer, your responsibilities will include, but are not limited to: 1.
Design, develop, and implement complex software applications using Java and Kubernetes.
2.
Lead the development and maintenance of APIs and services.
3.
Work closely with other team members to design and develop robust and scalable solutions for our clients.
4.
Use SQL for data manipulation and analysis, and work closely with our database team to optimize performance.
5.
Utilize your DevOps skills to improve our CI/CD pipeline and contribute to our infrastructure as code initiatives using Terraform.
6.
Participate in the design and development of distributed systems and microservices architecture.
7.
Leverage the Spring framework to build enterprise-grade applications.
8.
Collaborate with cross-functional teams to gather and understand requirements, and translate them into functional and non-functional specifications.
9.
Participate in code reviews to ensure code quality and shared knowledge.
10.
Mentor junior engineers and contribute to the continuous improvement of our software development processes.
Qualifications: The successful candidate will have: 1.
A Bachelor's degree in Computer Science, Software Engineering, or a related field.
2.
5+ years of experience in software development with a focus on Java and Kubernetes.
3.
Proven experience with API's, SQL, DevOps, Terraform, Distributed System Development, and Spring.
4.
Strong understanding of software development life cycle models.
5.
Excellent problem-solving skills and the ability to think critically and systematically.
6.
Strong communication skills, both written and verbal, and the ability to communicate effectively with both technical and non-technical stakeholders.
7.
Proven experience in leading and mentoring junior engineers.
8.
A commitment to continuous professional development and learning.
9.
A positive attitude, a passion for technology, and the ability to thrive in a fast-paced, dynamic environment.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $140,000
- $170,000 per year A bit about us: We are on the hunt for an innovative and seasoned Senior Software Engineer with a focus on Java and Kubernetes (K8's) to join our dynamic Tech Services team.
This is a permanent, full-time role that offers an exciting opportunity to work with our cutting-edge technology stack, solve complex problems, and contribute to our high-performing team.
The ideal candidate will have a deep understanding of modern software development methodologies and be well-versed in the technical landscape of API's, SQL, DevOps, Terraform, Distributed System Development, and Spring.
Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: As a Senior Software Engineer, your responsibilities will include, but are not limited to: 1.
Design, develop, and implement complex software applications using Java and Kubernetes.
2.
Lead the development and maintenance of APIs and services.
3.
Work closely with other team members to design and develop robust and scalable solutions for our clients.
4.
Use SQL for data manipulation and analysis, and work closely with our database team to optimize performance.
5.
Utilize your DevOps skills to improve our CI/CD pipeline and contribute to our infrastructure as code initiatives using Terraform.
6.
Participate in the design and development of distributed systems and microservices architecture.
7.
Leverage the Spring framework to build enterprise-grade applications.
8.
Collaborate with cross-functional teams to gather and understand requirements, and translate them into functional and non-functional specifications.
9.
Participate in code reviews to ensure code quality and shared knowledge.
10.
Mentor junior engineers and contribute to the continuous improvement of our software development processes.
Qualifications: The successful candidate will have: 1.
A Bachelor's degree in Computer Science, Software Engineering, or a related field.
2.
5+ years of experience in software development with a focus on Java and Kubernetes.
3.
Proven experience with API's, SQL, DevOps, Terraform, Distributed System Development, and Spring.
4.
Strong understanding of software development life cycle models.
5.
Excellent problem-solving skills and the ability to think critically and systematically.
6.
Strong communication skills, both written and verbal, and the ability to communicate effectively with both technical and non-technical stakeholders.
7.
Proven experience in leading and mentoring junior engineers.
8.
A commitment to continuous professional development and learning.
9.
A positive attitude, a passion for technology, and the ability to thrive in a fast-paced, dynamic environment.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
M
Software Build Engineer
Salary not disclosed
Software Build Engineer - Core Data Platform Team, EIS
Full-Time, Hybrid (Boston or Springfield)
The Opportunity
You will join the Core Data Platform team, which builds and maintains a suite of tools powering over 2,100 data pipelines in production across MassMutual. As a Software Build Engineer, you’ll manage the cloud infrastructure that supports this platform in a fast-paced, innovative, and collaborative environment. You’ll recommend and evaluate new technologies, contribute to code and patterns, and play a key role in shaping the future of data engineering at MassMutual.
The Team
You’ll be a key part of our esteemed Core Data Platform team, focused on enabling and accelerating the delivery of new data pipelines and products. You’ll help support a thriving user community of over 12 data engineering teams, located both on-shore and off-shore. Our team is technical, highly motivated, and excels at working in a fast-paced and always evolving environment with agility and resilience. We regularly collaborate to establish enterprise strategy, working closely with architecture, governance, and enterprise infrastructure teams.
The Impact
- Design, develop, and improve build and deployment standards and processes (e.g., CI/CD, orchestration, scheduling) to accelerate delivery and ensure reliability of data pipelines.
- Develop and maintain core infrastructure to deliver scalable, robust, and highly available systems, directly supporting 12+ data engineering teams.
- Evaluate and recommend emergent technologies, tools, processes, and reference architectures, driving innovation and continuous improvement.
- Contribute to the design and development of new software components, enhancing platform capabilities.
- Define version control best practices and automate enforcement where appropriate.
- Improve monitoring and logging using technologies such as OpenTelemetry and New Relic, enhancing system observability and reducing downtime.
- Identify areas for process improvement and automation, increasing efficiency and reducing manual effort.
- Collaborate closely with Enterprise Infrastructure, Architecture, and Governance teams, providing mentorship to developers as appropriate.
- Work in an Agile development environment, attending daily stand-up meetings and delivering incremental improvements.
Minimum Qualifications
- Bachelor’s degree in computer science, engineering, or a related technical field.
- Cloud: 5+ years of experience working in a cloud environment (e.g., AWS) using infrastructure-as-code technologies such as Terraform or CloudFormation to provision infrastructure.
Ideal Qualifications
- Master’s degree in computer science, engineering, or a related field.
- Code: 2+ years of experience as a Python or Java developer.
- Build & Deployment: Excellent understanding of build and continuous integration and deployment tools (e.g., Github Actions, Artifactory).
- Communication: Excellent communication, problem-solving, organizational, and analytical skills.
- Design: Strong foundation in algorithms, design patterns, and writing efficient code.
- Workflow: Knowledge of orchestration and scheduling tools (e.g., Apache Airflow).
- Data: Understanding of data processing technologies such as Apache Spark and Apache Kafka.
- Autonomy: Able to work independently and provide leadership to small teams of developers.
What to Expect as Part of MassMutual and the Team
- Regular collaboration with Enterprise Infrastructure, Architecture, Governance and Data Engineering teams
- Focused one-on-one time with your manager
- Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups
- Access to learning content on Degreed and other informational platforms
- Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits
#LI-RK1
MassMutual is an equal employment opportunity employer. We welcome all persons to apply.
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
Full-Time, Hybrid (Boston or Springfield)
The Opportunity
You will join the Core Data Platform team, which builds and maintains a suite of tools powering over 2,100 data pipelines in production across MassMutual. As a Software Build Engineer, you’ll manage the cloud infrastructure that supports this platform in a fast-paced, innovative, and collaborative environment. You’ll recommend and evaluate new technologies, contribute to code and patterns, and play a key role in shaping the future of data engineering at MassMutual.
The Team
You’ll be a key part of our esteemed Core Data Platform team, focused on enabling and accelerating the delivery of new data pipelines and products. You’ll help support a thriving user community of over 12 data engineering teams, located both on-shore and off-shore. Our team is technical, highly motivated, and excels at working in a fast-paced and always evolving environment with agility and resilience. We regularly collaborate to establish enterprise strategy, working closely with architecture, governance, and enterprise infrastructure teams.
The Impact
- Design, develop, and improve build and deployment standards and processes (e.g., CI/CD, orchestration, scheduling) to accelerate delivery and ensure reliability of data pipelines.
- Develop and maintain core infrastructure to deliver scalable, robust, and highly available systems, directly supporting 12+ data engineering teams.
- Evaluate and recommend emergent technologies, tools, processes, and reference architectures, driving innovation and continuous improvement.
- Contribute to the design and development of new software components, enhancing platform capabilities.
- Define version control best practices and automate enforcement where appropriate.
- Improve monitoring and logging using technologies such as OpenTelemetry and New Relic, enhancing system observability and reducing downtime.
- Identify areas for process improvement and automation, increasing efficiency and reducing manual effort.
- Collaborate closely with Enterprise Infrastructure, Architecture, and Governance teams, providing mentorship to developers as appropriate.
- Work in an Agile development environment, attending daily stand-up meetings and delivering incremental improvements.
Minimum Qualifications
- Bachelor’s degree in computer science, engineering, or a related technical field.
- Cloud: 5+ years of experience working in a cloud environment (e.g., AWS) using infrastructure-as-code technologies such as Terraform or CloudFormation to provision infrastructure.
Ideal Qualifications
- Master’s degree in computer science, engineering, or a related field.
- Code: 2+ years of experience as a Python or Java developer.
- Build & Deployment: Excellent understanding of build and continuous integration and deployment tools (e.g., Github Actions, Artifactory).
- Communication: Excellent communication, problem-solving, organizational, and analytical skills.
- Design: Strong foundation in algorithms, design patterns, and writing efficient code.
- Workflow: Knowledge of orchestration and scheduling tools (e.g., Apache Airflow).
- Data: Understanding of data processing technologies such as Apache Spark and Apache Kafka.
- Autonomy: Able to work independently and provide leadership to small teams of developers.
What to Expect as Part of MassMutual and the Team
- Regular collaboration with Enterprise Infrastructure, Architecture, Governance and Data Engineering teams
- Focused one-on-one time with your manager
- Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups
- Access to learning content on Degreed and other informational platforms
- Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits
#LI-RK1
MassMutual is an equal employment opportunity employer. We welcome all persons to apply.
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
permanent
M
Domain Architects
Salary not disclosed
Job Summary Job Description Medline Industries, LP is seeking Domain Architects to join our team in Northbrook, IL.
Job Description Architect and design a robust, scalable, reliable, and secure Infrastructure Automation Platform to support our cloud migration, software modernization, and business objectives.
Deliver Automation Platform solutions to serve customer, product, developer, and operations needs throughout the entire product life cycle, to enable software engineering teams to increase the velocity of code and application releases, and to enable infrastructure teams to manage our cloud infrastructure through code and automated deployments.
Foster and evangelize a team culture where serving platform customers is the primary mission, continuously monitoring and analyzing customer feedback for platform related pain points and empathize with customer demands and requirements.
Create detailed architectural specifications to document the architecture decisions.
Communicate the architectural specifications to technical teams and business sponsors in a directly actionable, clear, and succinct manner.
Drive adoption of the automation platform and services through advocacy and education to the broader engineering and operations organizations.
Research market trends and conduct competitive analysis for infrastructure and software delivery automation products and services to ensure our automation platform becomes best in class.
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 Agile ceremonies, including daily stand-ups, sprint planning, sprint reviews, and retrospectives, to provide technical leadership and guidance.
Participate in ITIL-based change, incident, and problem management processes for automation platform solutions.
Manage and optimize 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.
No additional national or international travel is anticipated.
Job Requirements PRIMARY REQUIREMENTS: Bachelor’s degree in Computer Engineering or related fields, or its foreign equivalent, and 8 years of relevant work experience.
In addition, experience with the following skills is required: (1) Experience using DevOps tools including Azure DevOps, GitLab, GitHub Actions, and DevOps Consulting & Architecture to orchestrate and optimize the software delivery lifecycle by integrating code versioning, automated builds, testing, and deployment.
(2) Experience using Cloud Automation tools including Azure Automation, ARM Templates, Azure LogicApps, and Cloud Architecture provision, configure, and monitor cloud resources programmatically while minimizing human error.
(3) Experience using Infrastructure as Code tools including Terraform, Ansible, and Chef to automate infrastructure provisioning and configuration, enabling version control and consistency across environments.
(4) Experience using Scripting language including Python, PowerShell, and Bash for automation, integration scripting, and administrative task execution across Windows/Linux/cloud environments.
(5) Experience using ML/AI Tools including Azure ML, AWS SageMaker, and TensorFlow to build, train, and operationalize machine learning models that power intelligent business applications.
(6) Experience using supporting Infrastructure Automation solutions including BMC Server Automation and vRealize Orchestrator Design to automate infrastructure lifecycle tasks including provisioning, compliance, patching, and audit readiness.
(7) Experience using Process Orchestrator / Low-Code tools including MS Power Platform, BMC Atrium Orchestrator, MS Orchestrator, and UiPath to digitize, automate, and optimize IT and business processes, reducing manual intervention.
(8) Experience using ideation and innovation to research market trends on technologies including GitLab Duo and Power Automate in the automation space to solve problems, increase adoption, productivity and efficiency.
JOB SITE: 2375 Waterview Drive, Northbrook, IL 60062 WORK HOURS: Full Time (8am to 5pm, Monday to Friday) PAY RANGE: $134,000.00 to $201,000.00 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.
Job Description Architect and design a robust, scalable, reliable, and secure Infrastructure Automation Platform to support our cloud migration, software modernization, and business objectives.
Deliver Automation Platform solutions to serve customer, product, developer, and operations needs throughout the entire product life cycle, to enable software engineering teams to increase the velocity of code and application releases, and to enable infrastructure teams to manage our cloud infrastructure through code and automated deployments.
Foster and evangelize a team culture where serving platform customers is the primary mission, continuously monitoring and analyzing customer feedback for platform related pain points and empathize with customer demands and requirements.
Create detailed architectural specifications to document the architecture decisions.
Communicate the architectural specifications to technical teams and business sponsors in a directly actionable, clear, and succinct manner.
Drive adoption of the automation platform and services through advocacy and education to the broader engineering and operations organizations.
Research market trends and conduct competitive analysis for infrastructure and software delivery automation products and services to ensure our automation platform becomes best in class.
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 Agile ceremonies, including daily stand-ups, sprint planning, sprint reviews, and retrospectives, to provide technical leadership and guidance.
Participate in ITIL-based change, incident, and problem management processes for automation platform solutions.
Manage and optimize 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.
No additional national or international travel is anticipated.
Job Requirements PRIMARY REQUIREMENTS: Bachelor’s degree in Computer Engineering or related fields, or its foreign equivalent, and 8 years of relevant work experience.
In addition, experience with the following skills is required: (1) Experience using DevOps tools including Azure DevOps, GitLab, GitHub Actions, and DevOps Consulting & Architecture to orchestrate and optimize the software delivery lifecycle by integrating code versioning, automated builds, testing, and deployment.
(2) Experience using Cloud Automation tools including Azure Automation, ARM Templates, Azure LogicApps, and Cloud Architecture provision, configure, and monitor cloud resources programmatically while minimizing human error.
(3) Experience using Infrastructure as Code tools including Terraform, Ansible, and Chef to automate infrastructure provisioning and configuration, enabling version control and consistency across environments.
(4) Experience using Scripting language including Python, PowerShell, and Bash for automation, integration scripting, and administrative task execution across Windows/Linux/cloud environments.
(5) Experience using ML/AI Tools including Azure ML, AWS SageMaker, and TensorFlow to build, train, and operationalize machine learning models that power intelligent business applications.
(6) Experience using supporting Infrastructure Automation solutions including BMC Server Automation and vRealize Orchestrator Design to automate infrastructure lifecycle tasks including provisioning, compliance, patching, and audit readiness.
(7) Experience using Process Orchestrator / Low-Code tools including MS Power Platform, BMC Atrium Orchestrator, MS Orchestrator, and UiPath to digitize, automate, and optimize IT and business processes, reducing manual intervention.
(8) Experience using ideation and innovation to research market trends on technologies including GitLab Duo and Power Automate in the automation space to solve problems, increase adoption, productivity and efficiency.
JOB SITE: 2375 Waterview Drive, Northbrook, IL 60062 WORK HOURS: Full Time (8am to 5pm, Monday to Friday) PAY RANGE: $134,000.00 to $201,000.00 Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here.
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
Not Specified
J
Sr Full-Stack Engineer
🏢 Jobot
Salary not disclosed
Fully remote working on Greenfield AI projects!!! This Jobot Job is hosted by: Garrett Mathison Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $160,000
- $170,000 per year A bit about us: We are a top financial firm with an impeccable reputation for exceptional achievement and consistently recognized as a leader in the industry! Our firm maintains a high level of technical expertise with the luxurious perks and schedule flexibility of a private company! If you feel overworked or undervalued, come to a place that encourages your goals, and celebrates all of your successes! We are positive people who like to work hard and have fun! Why join us? Do you want to work on meaningful projects with no micromanagement? Life Balance! 401K w/matching! Competitive Compensation! Premium Benefits! Continuing Education! Fun Company Social Events! Job Details Our company is a leading force in the Accounting and Finance industry, dedicated to transforming the way businesses manage their finances.
We are currently seeking a highly skilled and experienced Sr Full-Stack Engineer to join our dynamic team.
The ideal candidate will have a strong background in software development, with a particular emphasis on using modern technologies such as React, Node, Python, LLM, and Terraform.
This is a fantastic opportunity for a seasoned professional looking to make a significant impact in a growing company.
You will be at the forefront of our technological development, working on exciting projects that directly influence our business operations.
Responsibilities: As a Sr Full-Stack Engineer, you will: 1.
Design, develop, test, and implement high-quality software solutions with a focus on scalability and reliability.
2.
Collaborate with business units to define, design, and ship new features.
3.
Translate business requirements into technical specifications and help manage project priorities and timelines.
4.
Utilize your expertise in React, Node, Python, LLM, and Terraform to enhance our existing systems and develop new ones.
5.
Optimize applications for maximum speed and scalability while ensuring application security.
6.
Conduct code reviews, and maintain high standards of code quality and documentation.
7.
Troubleshoot, debug, and upgrade software to ensure optimal performance and quality.
8.
Keep up-to-date with emerging technologies and propose ways to apply them to our systems.
Qualifications: To be successful in this role, you will need: 1.
A minimum of 5 years of experience in full-stack development.
2.
Proven experience with React, Node, Python, LLM, and Terraform.
3.
Extensive knowledge of front-end and back-end languages, development frameworks, and third-party libraries.
4.
Experience with test-driven development and automated testing frameworks.
5.
Strong understanding of secure coding practices and experience with open-source technologies.
6.
Excellent problem-solving skills, with a knack for tackling complex technical challenges.
7.
Strong communication skills and the ability to work well in a team.
8.
A Bachelor's degree in Computer Science, Information Technology, or a related field.
A Master's degree is a plus.
9.
Experience in the Accounting and Finance industry is highly desirable.
In conclusion, if you are a seasoned full-stack engineer with a passion for developing innovative software solutions, we would love to hear from you.
This position offers an exciting opportunity to work on challenging projects, collaborate with a talented team, and contribute to a company at the forefront of the Accounting and Finance industry.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $160,000
- $170,000 per year A bit about us: We are a top financial firm with an impeccable reputation for exceptional achievement and consistently recognized as a leader in the industry! Our firm maintains a high level of technical expertise with the luxurious perks and schedule flexibility of a private company! If you feel overworked or undervalued, come to a place that encourages your goals, and celebrates all of your successes! We are positive people who like to work hard and have fun! Why join us? Do you want to work on meaningful projects with no micromanagement? Life Balance! 401K w/matching! Competitive Compensation! Premium Benefits! Continuing Education! Fun Company Social Events! Job Details Our company is a leading force in the Accounting and Finance industry, dedicated to transforming the way businesses manage their finances.
We are currently seeking a highly skilled and experienced Sr Full-Stack Engineer to join our dynamic team.
The ideal candidate will have a strong background in software development, with a particular emphasis on using modern technologies such as React, Node, Python, LLM, and Terraform.
This is a fantastic opportunity for a seasoned professional looking to make a significant impact in a growing company.
You will be at the forefront of our technological development, working on exciting projects that directly influence our business operations.
Responsibilities: As a Sr Full-Stack Engineer, you will: 1.
Design, develop, test, and implement high-quality software solutions with a focus on scalability and reliability.
2.
Collaborate with business units to define, design, and ship new features.
3.
Translate business requirements into technical specifications and help manage project priorities and timelines.
4.
Utilize your expertise in React, Node, Python, LLM, and Terraform to enhance our existing systems and develop new ones.
5.
Optimize applications for maximum speed and scalability while ensuring application security.
6.
Conduct code reviews, and maintain high standards of code quality and documentation.
7.
Troubleshoot, debug, and upgrade software to ensure optimal performance and quality.
8.
Keep up-to-date with emerging technologies and propose ways to apply them to our systems.
Qualifications: To be successful in this role, you will need: 1.
A minimum of 5 years of experience in full-stack development.
2.
Proven experience with React, Node, Python, LLM, and Terraform.
3.
Extensive knowledge of front-end and back-end languages, development frameworks, and third-party libraries.
4.
Experience with test-driven development and automated testing frameworks.
5.
Strong understanding of secure coding practices and experience with open-source technologies.
6.
Excellent problem-solving skills, with a knack for tackling complex technical challenges.
7.
Strong communication skills and the ability to work well in a team.
8.
A Bachelor's degree in Computer Science, Information Technology, or a related field.
A Master's degree is a plus.
9.
Experience in the Accounting and Finance industry is highly desirable.
In conclusion, if you are a seasoned full-stack engineer with a passion for developing innovative software solutions, we would love to hear from you.
This position offers an exciting opportunity to work on challenging projects, collaborate with a talented team, and contribute to a company at the forefront of the Accounting and Finance industry.
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
permanent
J
AI Engineer (Back-End)
🏢 Jobot
Salary not disclosed
This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $160,000
- $190,000 per year A bit about us: Our Client is a fast-growing, data-driven startup based in Boulder, Colorado, helping homeowners take better care of their land through smarter, sustainable, and AI-powered lawn care.
Now they’re building the future of lawn care — powered by AI — and looking for an engineer excited to develop intelligent systems that learn, reason, and act.
Why join us? Mission with Impact: Help make sustainable, intelligent lawn care accessible to everyone.
High-Growth Startup: Small, fast-paced team where your work directly shapes the product.
Cutting-Edge Tech: Build AI systems leveraging OpenAI, LangChain, and computer vision.
Flexible Work: Remote-friendly with optional HQ collaboration in Boulder, CO.
Competitive Pay & Equity: Plus, 100% employer-paid health benefits, unlimited PTO, and 401(k).
Job Details We’re searching for a Software Engineer with deep AI/ML experience to join our clients Yard AI initiative — building the next generation of autonomous, AI-driven lawn care tools.
You’ll work on the companys AI lawn care companion, scaling capabilities that include image recognition (weeds, bare spots, lawn health), personalized task calendars, and intelligent conversational workflows that help customers take action.
This role is ideal for someone who thrives at the intersection of backend engineering and applied AI — developing, deploying, and optimizing LLM and multi-agent systems that integrate directly into user-facing applications.
REQUIREMENT: You must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, MI, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA.
What You’ll Do Design, build, and maintain backend + AI pipelines (FastAPI, Python) powering LLM-driven chat, image recognition, and agentic workflows Develop and deploy agentic AI systems using frameworks like LangChain, CrewAI, or LangGraph Create RAG pipelines using vector databases (Pinecone, Weaviate, PGvector) and proprietary data to improve contextual relevance Collaborate with cross-functional teams — product, design, mobile, and data science — to deliver high-impact, intelligent features Fine-tune and evaluate LLM/CV models using tools like OpenAI Evals, Braintrust, or Promptfoo Deploy and monitor production systems in GCP/Kubernetes, ensuring reliability and observability with OpenTelemetry Mentor other engineers on AI best practices and agentic architectures What We’re Looking For 5+ years of experience in software or AI engineering Strong Python development skills with production experience Hands-on experience with OpenAI APIs (Assistants, Evals, SDKs) Proven experience building RAG and multi-agent systems Familiarity with LangChain, CrewAI, LangGraph, or similar orchestration tools Experience deploying AI models in GCP or AWS environments Understanding of CI/CD, Terraform/CDK, and cloud-native operations Strong communication and collaboration skills Bonus: familiarity with computer vision, reinforcement learning, or MCP servers Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $160,000
- $190,000 per year A bit about us: Our Client is a fast-growing, data-driven startup based in Boulder, Colorado, helping homeowners take better care of their land through smarter, sustainable, and AI-powered lawn care.
Now they’re building the future of lawn care — powered by AI — and looking for an engineer excited to develop intelligent systems that learn, reason, and act.
Why join us? Mission with Impact: Help make sustainable, intelligent lawn care accessible to everyone.
High-Growth Startup: Small, fast-paced team where your work directly shapes the product.
Cutting-Edge Tech: Build AI systems leveraging OpenAI, LangChain, and computer vision.
Flexible Work: Remote-friendly with optional HQ collaboration in Boulder, CO.
Competitive Pay & Equity: Plus, 100% employer-paid health benefits, unlimited PTO, and 401(k).
Job Details We’re searching for a Software Engineer with deep AI/ML experience to join our clients Yard AI initiative — building the next generation of autonomous, AI-driven lawn care tools.
You’ll work on the companys AI lawn care companion, scaling capabilities that include image recognition (weeds, bare spots, lawn health), personalized task calendars, and intelligent conversational workflows that help customers take action.
This role is ideal for someone who thrives at the intersection of backend engineering and applied AI — developing, deploying, and optimizing LLM and multi-agent systems that integrate directly into user-facing applications.
REQUIREMENT: You must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, MI, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA.
What You’ll Do Design, build, and maintain backend + AI pipelines (FastAPI, Python) powering LLM-driven chat, image recognition, and agentic workflows Develop and deploy agentic AI systems using frameworks like LangChain, CrewAI, or LangGraph Create RAG pipelines using vector databases (Pinecone, Weaviate, PGvector) and proprietary data to improve contextual relevance Collaborate with cross-functional teams — product, design, mobile, and data science — to deliver high-impact, intelligent features Fine-tune and evaluate LLM/CV models using tools like OpenAI Evals, Braintrust, or Promptfoo Deploy and monitor production systems in GCP/Kubernetes, ensuring reliability and observability with OpenTelemetry Mentor other engineers on AI best practices and agentic architectures What We’re Looking For 5+ years of experience in software or AI engineering Strong Python development skills with production experience Hands-on experience with OpenAI APIs (Assistants, Evals, SDKs) Proven experience building RAG and multi-agent systems Familiarity with LangChain, CrewAI, LangGraph, or similar orchestration tools Experience deploying AI models in GCP or AWS environments Understanding of CI/CD, Terraform/CDK, and cloud-native operations Strong communication and collaboration skills Bonus: familiarity with computer vision, reinforcement learning, or MCP servers Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Senior Automation Engineer
🏢 Jobot
Salary not disclosed
This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $180,000
- $200,000 per year A bit about us: We are a large, diversified organization with a long-standing presence across multiple industries and a strong focus on innovation and operational excellence.
Our technology teams support a broad portfolio of digital platforms, data systems, and enterprise services that power business-critical operations at scale.
As we continue to modernize and evolve our technology landscape, we invest in building reliable, well-integrated systems and in the people who design and support them.
Collaboration, accountability, and thoughtful engineering are central to how we work.
Why join us? Join a large, established organization in the middle of meaningful technology modernization.
This role offers the opportunity to work on complex, enterprise-scale systems where automation, integration, and data accuracy truly matter.
You’ll have visibility, influence, and strong cross-functional partnership, helping shape how platforms connect and operate across the business.
If you enjoy solving real problems at scale and building solutions that drive long-term impact, this is a role where your work will be seen and used.
Job Details Senior Automation Engineer About the Role We are seeking a Senior Automation Engineer to help design and deliver scalable, intelligent automation across a complex enterprise environment.
This role is ideal for an engineer who began their career in Cloud Engineering, Network Engineering, or Identity & Access Management (IAM) and has since expanded into automation, systems integration, and operational efficiency.
This position goes beyond traditional scripting or task automation.
You will work at the intersection of infrastructure, identity, cloud platforms, and service management, using automation to connect systems, reduce manual work, and improve reliability and visibility across the enterprise.
A strong understanding of CMDB concepts and data relationships is critical, as automation efforts will rely heavily on accurate configuration data.
Key Responsibilities Automation & Integration Design, build, and maintain automation workflows that integrate cloud platforms, network systems, identity providers, and IT service management tools Develop automation to support provisioning, deprovisioning, configuration changes, incident response, and operational workflows Create reusable automation frameworks and patterns to scale automation across teams CMDB & Service Management Leverage CMDB data to drive automation, ensuring configuration items (CIs) and relationships are accurate and actionable Partner with service management teams to improve CMDB data quality, discovery, and governance Build automations that update, validate, and reconcile CMDB records across systems Cloud, Network & Identity Enablement Automate workflows related to cloud infrastructure (AWS, Azure, GCP), networking, and identity platforms (Okta, Azure AD, AD, CyberArk, etc.) Collaborate with cloud, network, and IAM teams to standardize and automate common operational tasks Support identity-driven automation use cases such as access provisioning, role-based access, and lifecycle events Operational Excellence Reduce manual effort and operational risk through automation and self-service capabilities Improve reliability, observability, and response times through automated remediation and event-driven workflows Support incident, change, and configuration management processes with automation-first solutions Collaboration & Leadership Act as a technical mentor and automation subject-matter expert for engineering and operations teams Partner closely with architecture, security, and platform teams to align automation with enterprise standards Contribute to automation strategy, roadmap, and best practices Required Qualifications Strong background in Cloud Engineering, Network Engineering, or Identity & Access Management, with a transition into automation Hands-on experience building automation using scripting or automation tools (Python, PowerShell, Bash, Ansible, Terraform, etc.) Solid understanding of CMDB concepts, configuration items, relationships, and service mapping Experience integrating automation with ITSM platforms (e.g., ServiceNow or similar) Strong systems-thinking mindset and ability to work across technical domains Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $180,000
- $200,000 per year A bit about us: We are a large, diversified organization with a long-standing presence across multiple industries and a strong focus on innovation and operational excellence.
Our technology teams support a broad portfolio of digital platforms, data systems, and enterprise services that power business-critical operations at scale.
As we continue to modernize and evolve our technology landscape, we invest in building reliable, well-integrated systems and in the people who design and support them.
Collaboration, accountability, and thoughtful engineering are central to how we work.
Why join us? Join a large, established organization in the middle of meaningful technology modernization.
This role offers the opportunity to work on complex, enterprise-scale systems where automation, integration, and data accuracy truly matter.
You’ll have visibility, influence, and strong cross-functional partnership, helping shape how platforms connect and operate across the business.
If you enjoy solving real problems at scale and building solutions that drive long-term impact, this is a role where your work will be seen and used.
Job Details Senior Automation Engineer About the Role We are seeking a Senior Automation Engineer to help design and deliver scalable, intelligent automation across a complex enterprise environment.
This role is ideal for an engineer who began their career in Cloud Engineering, Network Engineering, or Identity & Access Management (IAM) and has since expanded into automation, systems integration, and operational efficiency.
This position goes beyond traditional scripting or task automation.
You will work at the intersection of infrastructure, identity, cloud platforms, and service management, using automation to connect systems, reduce manual work, and improve reliability and visibility across the enterprise.
A strong understanding of CMDB concepts and data relationships is critical, as automation efforts will rely heavily on accurate configuration data.
Key Responsibilities Automation & Integration Design, build, and maintain automation workflows that integrate cloud platforms, network systems, identity providers, and IT service management tools Develop automation to support provisioning, deprovisioning, configuration changes, incident response, and operational workflows Create reusable automation frameworks and patterns to scale automation across teams CMDB & Service Management Leverage CMDB data to drive automation, ensuring configuration items (CIs) and relationships are accurate and actionable Partner with service management teams to improve CMDB data quality, discovery, and governance Build automations that update, validate, and reconcile CMDB records across systems Cloud, Network & Identity Enablement Automate workflows related to cloud infrastructure (AWS, Azure, GCP), networking, and identity platforms (Okta, Azure AD, AD, CyberArk, etc.) Collaborate with cloud, network, and IAM teams to standardize and automate common operational tasks Support identity-driven automation use cases such as access provisioning, role-based access, and lifecycle events Operational Excellence Reduce manual effort and operational risk through automation and self-service capabilities Improve reliability, observability, and response times through automated remediation and event-driven workflows Support incident, change, and configuration management processes with automation-first solutions Collaboration & Leadership Act as a technical mentor and automation subject-matter expert for engineering and operations teams Partner closely with architecture, security, and platform teams to align automation with enterprise standards Contribute to automation strategy, roadmap, and best practices Required Qualifications Strong background in Cloud Engineering, Network Engineering, or Identity & Access Management, with a transition into automation Hands-on experience building automation using scripting or automation tools (Python, PowerShell, Bash, Ansible, Terraform, etc.) Solid understanding of CMDB concepts, configuration items, relationships, and service mapping Experience integrating automation with ITSM platforms (e.g., ServiceNow or similar) Strong systems-thinking mindset and ability to work across technical domains Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
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