Senior DevOps Engineer

The role

You will architect and maintain scalable, resilient systems to power AI agents and an enterprise software development platform. You will build Kubernetes clusters, design CI/CD pipelines, and automate infrastructure.

What you will do

• 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.
• Own the observability stack including alerting, distributed tracing, and monitoring.
• Build and maintain infrastructure for AI agent orchestration.
• Partner with engineering teams to improve developer experience, deployment strategies, and operational tooling.
• Maintain and improve security, reliability, and cost-efficiency of cloud environments.

Required 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 (GCP, AWS, or, Azure).
• Proficiency with Terraform for Infrastructure as Code.
• Strong Linux administration skills.
• Containerization expertise (Docker).

About the company

Blitzy is a Cambridge, MA based AI software development platform. It uses an agentic software development platform to autonomously build custom software.