52K–71K GBP / year
Software Engineer (Enterprise Experience, Backend)
BackendRemote — Europe
Published on 2026-09-16
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About this role
Build backend features that help enterprise customers operate Coder reliably, securely, and at scale. Own work from design through production, including database changes, observability, auditing, and performance improvements.
About the company
Coder provides cloud development environments and AI development infrastructure that helps enterprises provision, govern, and secure developer workspaces.
The team
Enterprise Experience team within Research & Development.
Stack
GoPostgreSQLKubernetesgRPCPrometheusGrafanaGitHub Actions
What you'll do
- Build and ship features from design through production rollout
- Write database migrations that support safe, compatible upgrades
- Develop observability, reporting, and audit capabilities
- Build features that improve enterprise deployment security
- Investigate scalability bottlenecks, database access patterns, and concurrency issues
- Resolve backend issues reported by operators and administrators
- Document work, review code, contribute to design discussions, and participate in on-call
What we're looking for
- At least 2 years of professional software engineering experience
- Professional experience shipping Go
- Working knowledge of Go concurrency, including goroutines, channels, and sync
- Comfort with SQL, schema changes, and migrations
- Strong communication, debugging, and analytical problem-solving skills
Nice to have
- Experience investigating production performance and race conditions
- Experience with enterprise observability, audit, or security features
- Experience with cloud providers, Kubernetes, and container orchestration
- Experience building or operating distributed systems at scale
- Curiosity about developer tooling
Benefits
- Equity
- Bonus
Hiring process
- Interview process expected to take two to four weeks
- Meet with individual contributors, managers, and senior leaders
- AI assistance is not permitted in conversational interviews; AI tools are permitted for take-home assessments if disclosed
