Blitzy is an autonomous enterprise software development platform that autonomously completes months of software development and understands large-scale enterprise codebases.
About Blitzy 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. Location: Cambridge, MA (HQ) Compensation: $85,000 - $180,000 + equity 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. Areas of Ownership - 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. Required Experience - 5–8 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. 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 o