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Software Engineer - AI Tooling Infrastructure
BackendRemote — worldwide
Published on 2026-10-31
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 operate reliable, secure backend services that support Supabase’s AI products, including its MCP server. This is an infrastructure-focused engineering role covering production operations, authorization, observability, and agent-traffic reliability—not AI product development or an SRE role.
About the company
Supabase builds an open-source backend platform with Postgres, auth, storage, and realtime APIs. It helps developers launch production apps without managing custom infrastructure.
The team
AI Tooling team
Stack
TypeScriptGoPostgreSQLOAuthOIDCJWTDockerGrafana
What you'll do
- Build, deploy, scale, configure, and release production backend services for AI products.
- Set and track reliability targets, SLOs, and error budgets with the SRE team.
- Participate in on-call, respond to incidents, and maintain follow-ups and runbooks.
- Design and operate OAuth apps, scoped tokens, and authorization for AI and agent clients.
- Own service observability, including metrics, traces, logs, dashboards, and alerts.
- Manage agent-traffic capacity, rate limits, cost controls, and degraded-dependency behavior.
- Improve service architecture and contribute to AI Tooling code where reliability or security is affected.
What we're looking for
- 5+ years building and operating production backend services, including on-call experience.
- Strong TypeScript or Go skills and comfort working in the other language.
- Experience designing APIs, including versioning, error handling, rate limiting, and backwards-compatible changes.
- Working knowledge of OAuth, OIDC, JWT, and API authorization.
- Good understanding of PostgreSQL and relational databases.
- Experience with CI/CD, Docker, container deployments, and infrastructure as code.
- Ability to debug distributed services using metrics, traces, and logs.
- Clear written communication and ability to work asynchronously in a distributed team.
Nice to have
- Experience with MCP, agent tooling, or traffic from AI agents and LLM clients.
- Experience extracting a service from a larger codebase while maintaining client compatibility.
- Experience with Grafana, OpenTelemetry, Logflare, or SLOs.
- Open-source contributions to Node.js, Go, TypeScript, or API tooling.
Benefits
- Company equity (ESOP).
- WeWork membership or coworking allowance.
- Tech allowance for work equipment.
- Health insurance coverage for employees and partial coverage for dependents.
- Annual company off-site.
- Annual professional development allowance.