Senior DevOps Engineer

Blitzy•Cambridge, MA

9d•Onsite

About The Position

Blitzy is a Cambridge, Massachusetts-based AI software development platform focused on autonomously building custom software. The company describes itself as a fast-growing enterprise software company backed by tier 1 investors, with customers including Fortune 500 companies. The Senior DevOps Engineer will be based at Blitzy’s Cambridge headquarters and will help build and maintain the infrastructure behind its AI agents and enterprise software development platform. This hands-on, high-impact role involves architecting scalable and resilient systems, supporting AI agent workloads and production application deployments, and taking ownership of infrastructure in a fast-moving environment. The position partners closely with engineering teams to improve developer experience, deployment practices, and operational tooling. Compensation is listed as $160,000–$230,000, plus bonus and equity. Blitzy is an equal opportunity employer committed to building a diverse and inclusive team.

Requirements

At least 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 a major cloud platform: GCP, AWS, or Azure.
Proficiency with Terraform for Infrastructure as Code.
Strong Linux administration skills and containerization expertise with Docker.

Responsibilities

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