As a Senior Platform Engineer on Coder’s Enterprise Experience team, you will mature the artifacts that help large enterprises deploy, harden, and upgrade Coder with confidence. You will work across hardened images, Terraform modules, Helm charts, and reference architectures that customers depend on every day.

You will be a founding member of the team, shaping how Coder runs in self-hosted enterprise environments. You will partner across engineering to make deployment reliable, operations straightforward, and upgrades easier to trust.

What you’ll do here

• Harden and maintain container images for compliance-driven distribution channels.

• Build and mature Terraform modules and Helm charts used to deploy Coder in customer environments.

• Own reference architectures, keeping them accurate as the platform evolves and enterprise deployment patterns shift.

• Improve the upgrade experience for our users, making it more seamless, predictable, and reliable.

• Contribute to architecture decisions and collaborate with teams across engineering.

• Mentor other engineers, sharing what you know and raising the quality of the team’s work.

• Hold a high bar for code quality, security, and performance in everything you ship.

What we’re looking for

• 5+ years in infrastructure or platform engineering, with direct ownership of deployment artifacts that users or internal teams depend on.

• Hands-on experience with Terraform, Helm, and container images.

• A proven record of shipping infrastructure used by large enterprise customers.

• Strong technical depth across Linux, Kubernetes, containers, and Infrastructure as Code.

• Experience with at least one major public cloud: AWS, GCP, or Azure.

• A solid understanding of IP networking, HTTP fundamentals, and distributed systems.

• Experience designing CI/CD pipelines and working with observability or monitoring systems.

• Strong judgment around security, reliability, and long-term maintainability.

Bonus tacos if you have

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

• Experience with compliance-driven or hardened image work.

• Significant professional experience with our tech stack.

• Prior work on developer tooling.

• Public open source contributions.

• Experience designing reference architectures for enterprise infrastructure.

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

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

About Coder

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.

Interview process 

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.

AI use during the interview process

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.

Our use of AI in hiring

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].

Coder is a proud Equal Opportunity Employer

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.