Platform Engineering Lead

As the Platform Engineering Lead at Coder, you will lead architectural and technical decisions related to platform engineering and internal DevOps. You unblock, uplift, and focus on the problems that matter - delivering a cutting-edge developer platform loved by customers.

You will be the founding member of a new team dedicated to platform engineering and internal DevOps. We are looking for a lead who will get hands-on and contribute while also helping to set standards and upgrade existing infrastructure. Coder’s main software platform is a self-hosted deployable, in which Coder providers reference architecture, Helm charts, Terraform providers, and more. You will be directly responsible for helping to mature these artifacts.

Coder also has a number of lightweight external infrastructure and internal development infrastructure which you will help to maintain, guide, and expand. Until now, Software Engineers have been maintaining and handling all internal DevOps work.

What you’ll do here

• Drive architecture decisions related to infrastructure and deployments

• Support internal infrastructure for engineering

• Translate product vision into clear technical roadmaps; drive execution end‑to‑end

• Train and uplift engineering and field teams on infrastructure-related work

• Hold a high bar for code quality, security, and performance; instill best practices

What we’re looking for

• 7+ years in infrastructure and platform engineering, with at least 3 years leading teams

• Proven record of shipping software to large enterprise customers

• Experience contributing to or leading open source projects

Deep technical foundation in

• Linux

• Kubernetes & containers

• At least one major public cloud (e.g. AWS, GCP, or Azure)

• IP networking & HTTP fundamentals

• Infrastructure as Code

Our tech stack

• Backend: Go, Postgres, GCP, Kubernetes, gRPC

• Frontend: Typescript, React, Vite

• IDE Extensions: Typescript, Kotlin

• Observability: Prometheus, Grafana

• CI/CD: GitHub Actions

• General: GitHub, Slack, Discord, Notion

Bonus tacos if you have

• (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)

• Significant professional experience with our tech stack

• Prior work on developer tooling

• Public open source contributions

• You still carve out time to code, either at work or on passion projects

Coder is an AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle.

Our self-hosted AI Development Environment is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale.

We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.

As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.

Not permitted: Using AI assistance during conversational interviews.

Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.

We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:

• Ashby helps us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions - it helps our team prioritize which applications to review first.

• Granola takes notes during our interview calls so our team can focus on the conversation with you.

All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.

In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby.

If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact [email protected].

We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.