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Weekend Kubernetes Engineer Jobs in Boston, MA (NOW HIRING)

Blitzy

DevOps Engineer

Cambridge, MA · On-site

$57.75 - $79/hr

... Engineer at Blitzy, you will be a critical force behind the infrastructure powering our cutting ... Kubernetes clusters are stable, well-documented, and capable of scaling to support growing AI agent ...

Raft

Senior Engineer

Hanscom Air Force Base, MA · On-site

$111K - $152K/yr

As a Senior DevOps Engineer at Raft, you won't be operating in a pure infrastructure lane. You will ... Design, implement, and maintain secure Kubernetes-based infrastructure supporting data platform ...

Roberts Recruiting

DevOps Engineer

Quincy, MA

$55.50 - $76/hr

Must be able to develop AWS and Kubernetes Terraform modules. - Jenkins, Agents, JCaSC, Pipelines ... Maintaining pipelines in Dev/Qa/UAT/Prod and other environments Helping developers with deployment ...

YO AI Labs

DevOps Expert - Remote

Boston, MA · Remote

$30 - $80/hr

... (SRE) * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker * Terraform * CI/CD * GitHub / GitLab / JIRA * Observability * ChatGPT Work * Claude Code * Claude Cowork * AI Agents

YO AI Labs

DevOps Expert - Remote

Boston, MA · Remote

$30 - $80/hr

... (SRE) * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker * Terraform * CI/CD * GitHub / GitLab / JIRA * Observability * ChatGPT Work * Claude Code * Claude Cowork * AI Agents

Magna

Sr. DevOps Engineer

Lowell, MA · On-site

$128K - $165K/yr

... Engineer to design, implement, and support scalable, secure, and resilient cloud infrastructure ... Design and manage infrastructure using AWS , Kubernetes, and Terraform. * Build and support CI/CD ...

Magna

Sr. DevOps Engineer

Lowell, MA · On-site

$128K - $165K/yr

... Engineer to design, implement, and support scalable, secure, and resilient cloud infrastructure ... Design and manage infrastructure using AWS , Kubernetes, and Terraform. * Build and support CI/CD ...

Leader Bank

DevOps Engineer

Arlington, MA · On-site

$112 - $125/hr

Experience managing Kubernetes environments, preferably Amazon EKS. * Strong experience with ... Engineer-Professional, AWS Solutions Architect, or equivalent cloud certifications. * Experience ...

Leader Bank

DevOps Engineer

Arlington, MA · On-site

$112K - $125K/yr

... Engineer is responsible for designing, automating, and supporting the Bank's cloud infrastructure ... Experience managing Kubernetes environments, preferably Amazon EKS. * Strong experience with ...

Leader Bank

DevOps Engineer

Arlington, MA · On-site

$59.75 - $81.75/hr

... Engineer is responsible for designing, automating, and supporting the Bank's cloud infrastructure ... Experience managing Kubernetes environments, preferably Amazon EKS. * Strong experience with ...

NetApp

Senior Software Engineer

Waltham, MA · On-site

$133K - $176K/yr

Job Summary As a Senior Software Engineer - Cloud Infrastructure, you will help build, operate, and ... This role supports cloud-native services built on microservices and Kubernetes-based architectures ...

Overture Partners

Cloud Engineer

Boston, MA · On-site

$75 - $80/hr

Deep knowledge of Kubernetes and Docker, including large-scale container orchestration and highly available deployments * Advanced Python scripting/programming skills for cloud automation ...

American Tower

Cloud Engineer

Westborough, MA

$57.50 - $76.75/hr

Develop and maintain containerized applications using Docker, Kubernetes, and related technologies ... A minimum of 4 years of cloud engineering experience with a strong focus on Microsoft Azure ...

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DevOps Engineer

Blitzy

Cambridge, MA • On-site

$57.75 - $79/hr

Full-time

Re-posted 28 days ago

Job description

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.
Our Culture
Who we are:
Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.
How we work:
  • We move Blitzy Fast: Time is both our company's and our clients' most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
  • Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
  • Passion for Invention: We're pushing the frontier of what's possible, requiring constant innovation and iteration.
  • We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
  • We believe in being 'everyday athletes': taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for optimal mental performance. It makes for a happier and more productive team.
About the Role
As a DevOps Engineer at Blitzy, you will be a critical force behind the infrastructure powering our cutting-edge AI agents and enterprise software development platform. Based out of our Cambridge, MA headquarters, you'll architect and maintain the scalable, resilient systems that enable Blitzy to autonomously deliver production-ready software at unprecedented speed. This is a high-impact, hands-on role where your work directly shapes the reliability and performance of a platform used by Fortune 500 companies.
What Success Looks Like
  • Kubernetes clusters are stable, well-documented, and capable of scaling to support growing AI agent workloads without manual intervention.
  • CI/CD pipelines are fully automated, reliable, and enabling engineering teams to ship faster with measurably fewer deployment failures.
  • Infrastructure provisioning is codified end-to-end in Terraform with zero manual steps required to spin up new environments.
  • Monitoring, alerting, and distributed tracing are in place across all production services - on-call is predictable, not chaotic.
  • Developer experience has been meaningfully improved: engineers spend less time waiting on infrastructure and more time building product.
  • AI agent orchestration infrastructure is robust, observable, and purpose-built to handle high-concurrency workloads at enterprise scale.

Responsibilities
  • Build, manage, and scale Kubernetes clusters supporting AI agent workloads and production application deployments.
  • Design and implement robust CI/CD pipelines for both application services and AI-driven workflows.
  • Automate infrastructure provisioning, scaling, and operations using Python and Terraform.
  • Deploy and maintain applications via Helm charts, ensuring consistency across environments.
  • Own the observability stack: alerting, distributed tracing, and monitoring for all production services and APIs.
  • Build and maintain infrastructure for AI agent orchestration, enabling reliable and high-throughput agent execution.
  • Partner closely with engineering teams to improve developer experience, deployment strategies, and operational tooling.
  • Maintain and continuously improve the security, reliability, and cost-efficiency of our cloud environments.

Qualifications
  • 5+ years of DevOps or infrastructure engineering experience in production environments.
  • Deep expertise in Kubernetes - including deployment, scaling, networking, and troubleshooting.
  • Strong Python proficiency for automation, scripting, and tooling.
  • Hands-on experience with Helm for application package management.
  • Proven track record designing and maintaining CI/CD pipelines.
  • Experience with major cloud platforms (AWS, Azure, or GCP).
  • Proficiency with Terraform for Infrastructure as Code.
  • Strong Linux administration skills and containerization expertise (Docker).

What Makes You Stand Out
  • CKA (Certified Kubernetes Administrator) certification.
  • Experience with MLOps tooling such as MLflow, Kubeflow, or similar platforms.
  • Background in microservices architecture and service mesh technologies.
  • Familiarity with API gateway management and advanced service mesh configurations.
  • A bias for automation - if you've done something manually twice, you've already started scripting it.
  • Passion for AI infrastructure and excitement about building systems at the frontier of what's technically possible.

What Makes This Role Different
This isn't a maintenance role - it's a builder role. You'll be working at the intersection of AI and infrastructure, designing the systems that power one of the most ambitious AI development platforms in the market. You'll have direct ownership over critical infrastructure that supports Fortune 500 clients, with the autonomy to make architectural decisions that shape how Blitzy scales. You'll collaborate daily with a world-class engineering team in our Cambridge HQ, with the opportunity to earn company equity tied to performance. If you're energized by working on hard infrastructure problems in a fast-moving, high-stakes environment, this is the role for you.
Salary Range: $85,000 - $180,000 + Equity
Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger. Base salary ranges are determined by country, role, level, experience, and skills. The range displayed on each job posting reflects Blitzy's good faith determination of the minimum and maximum targets for new hire salaries across all US locations. Individual pay is determined by related factors, including job skills, experience, and relevant education or training, which may impact a final offer. Your Talent Partner can share more about the specific salary range during the hiring process.

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