Senior DevOps Engineer - AI Platform, Infra, Equity

Overview

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 are transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute a substantial portion of software development work.

We are backed by multiple tier 1 investors and have proven success as founders of previous start-ups.

Location Cambridge, MA (HQ)

Compensation $150,000 - $180,000 + equity

As a Dev Ops 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 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.

• 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 enable 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 designed to handle high-concurrency workloads at enterprise scale.

• 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.

• 5–8 years of Dev Ops 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).

• 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.

This isn t a maintenance role — it s a builder role. You ll work at the intersection of AI and infrastructure, designing the systems that power one of the most ambitious AI development…