193K–294K USD / year
Staff Software Engineer (AI Governance)
AIRemote — United States
Published on 2026-08-11
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Build and maintain Coder’s AI governance products for developer tooling: an LLM gateway for centralized authentication, auditing, token tracking, and cost control, and an agent firewall for default-deny network policies. The role spans backend, frontend, and LLM provider integrations, with a focus on security, enterprise needs, and open-source contributions.
About the company
Coder provides cloud development environments and AI development infrastructure that helps enterprises provision, govern, and secure developer workspaces.
The team
AI Governance team, within Research & Development and Enterprise Engineering.
Stack
GoTypeScriptReactVitePostgreSQLGCPKubernetesgRPC
What you'll do
- Design and ship features for remote development in self-hosted environments.
- Build and improve open-source integrations with VS Code, JetBrains, and other developer tools.
- Harden AI governance and security boundaries, including gateway and network-policy capabilities.
- Collaborate with Product, Design, partners, and enterprise customers on integrations and policy needs.
- Document system design, implementation, and operations.
- Support enterprise users in collaboration with Customer Success.
What we're looking for
- 8+ years of professional full-stack software engineering experience.
- At least 1 year of Go experience, ideally in a current or recent role.
- Proficiency building distributed systems in Go.
- Strong communication, debugging, and troubleshooting skills.
- Self-motivated, creative, and analytical approach.
Nice to have
- TypeScript and React experience.
- Background in developer tooling, platform engineering, or infrastructure as code.
- Interest in developer tools and emerging technology trends.
Benefits
- Equity
- Bonus
Hiring process
- Interview process typically takes 2–4 weeks and includes individual contributors, managers, and senior leaders.
- AI assistance is not permitted during conversational interviews; it is allowed for take-home assessments if disclosed.
