Staff Software Engineer (Agentic Engineering)

As a Staff Software Engineer on Coder’s Agentic Engineering team, you’ll shape the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments.

You’ll stay hands-on while setting the team’s technical direction. You’ll lead complex work, make sound architectural decisions, and help other engineers do their best work.

• Set technical direction across Coder’s agent harness, integrations, and workflows.
• Design and build production systems in Go, with work across React and TypeScript where needed.
• Evolve agent execution, tool use, context management, streaming, and long-running workflows.
• Extend our provider-agnostic architecture as models and capabilities change.
• Lead complex projects from early ambiguity through production.
• Raise the engineering bar through design reviews, code reviews, and technical mentorship.
• Partner with Product and Design on clear, useful agent experiences.
• Improve the reliability, performance, and operability of agentic systems.

• Strong hands-on experience with Go.
• Experience with React and TypeScript.
• Hands-on experience building systems around LLMs and agentic workflows.
• Experience with model APIs, tool calling, context management, or agent loops.
• Strong distributed systems knowledge.
• Working knowledge of AWS.
• A track record of setting technical direction without formal authority.
• Strong architectural judgment and comfort working through ambiguity.

• Someone who makes the engineers around them better.

• Backend: Go, Postgres
• Frontend: TypeScript, React
• Infrastructure: AWS, Kubernetes
• Observability: Prometheus, Grafana

• CI/CD: GitHub Actions

• (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
• Experience building coding agents, developer tools, or cloud development environments.
• Experience with agent tools, or multi-agent systems.
• Experience building abstractions across multiple model providers.
• Deep experience with AWS, Kubernetes, Docker and Linux.
• Open-source contributions or experience working directly with customers.

Coder’s agentic architecture is provider-agnostic. The foundation is already built; this role helps decide how it evolves, where we invest, and how we keep it reliable as the space moves quickly.

Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com.

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.