DevOps Engineer

Blitzy; Cambridge (MA); On-site; USD 150,000 - 180,000; Full time

Job summary

Blitzy, a Cambridge, MA based AI software development platform, is seeking a DevOps Engineer to help scale and secure the infrastructure powering its AI agents and production software.

Based at our Cambridge HQ, you will design and operate scalable, resilient systems, automate provisioning with Terraform and Python, deploy applications with Helm, and own robust CI/CD pipelines that enable rapid, reliable software delivery.

Qualifications

• 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).

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.

Skills

CI/CD Automation

Linux Administration

Tools

Kubernetes

Python

Helm

Terraform

Docker

AWS

Azure

GCP

Job description

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

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 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 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.

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 work 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 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, including representation within the Fortune 500.

How We Work

• We move Blitzy Fast: Time is our company\'s and 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, collaborating in-person and maintaining high standards.
• Passion for Invention: We push the frontier of what\'s possible with constant innovation and iteration.
• We Work for the Customer: We focus on delivering outsized value and meaningful partnerships.
• We believe in being \'everyday athletes\' — taking care of ourselves to bring our best minds to work.

Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.