About the Role
As a Senior Software Engineer on Coder’s Engineering team, you’ll build and evolve 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, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences.
Responsibilities
- Design and build production systems in Go, with work across React and TypeScript where needed.
- Improve agent execution, tool use, context management, streaming, and long-running workflows.
- Extend our provider-agnostic architecture as models and capabilities change.
- Build reliable integrations between agents, workspaces, tools, and developer infrastructure.
- Own projects from implementation through rollout and iteration.
- Contribute to design reviews, code reviews, and technical discussions.
- Partner with Product and Design to turn agent capabilities into useful developer experiences.
- Improve the reliability, performance, and operability of agentic systems.
About Coder
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.
- Compensation: £69K – £126K
- Offers Equity
- Offers Bonus
- Multiple Ranges. Our tech stack includes: Backend: Go, Postgres; Frontend: TypeScript, React; Infrastructure: AWS, Kubernetes; Observability: Prometheus, Grafana; CI/CD: GitHub Actions.
Requirements
- Strong experience building and operating production software systems.
- Hands-on experience with Go.
- Experience with React and TypeScript.
- Experience building systems around LLMs or agentic workflows.
- Familiarity with model APIs, tool calling, context management, or agent loops.
- Good understanding of distributed systems and production reliability.
- Working knowledge of AWS.
- Strong problem-solving skills and comfort working through technical ambiguity.
- Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing.
Bonus Skills
- Experience building coding agents, developer tools, or cloud development environments.
- Experience with MCP, agent tools, or multi-agent systems.
- Experience with remote execution, sandboxing, or isolated compute.
- Experience building integrations across multiple model providers.
- Experience with AWS, Kubernetes, Docker, or Linux.
- Open-source contributions or experience working directly with customers.
