About the role
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 enterprise grade 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.
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 for an engineer who thrives in a fast-moving environment and takes deep ownership of the systems they build.
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 (GCP, AWS, or, Azure).
- Proficiency with Terraform for Infrastructure as Code.
- Strong Linux administration skills and containerization expertise (Docker).
Compensation: $160,000-$230,000 + Bonus +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 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