AI Tooling Infrastructure Engineer (Remote Backend)

BranchFactor; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Fully Remote

ESOP

Tech Allowance

Health Benefits

Annual Off-Sites

Flexible Work

Professional Development

Job summary

Supabase is seeking a Software Engineer for AI Tooling Infrastructure to build and operate backend services behind our AI products. You’ll own the MCP server and contribute to reliability, security, and scalability of AI tooling infrastructure.

You’ll collaborate with Platform, SRE, Auth, Billing and Edge Functions teams, and own authentication, observability, and incident response across distributed services in a fully remote, global company.

Qualifications

• 5+ years of experience building and running backend services in production.
• Proficient in TypeScript or Go, with ability to work in the other.
• Designed and operated APIs with versioning, error handling, rate limiting, and backward-compatible changes.
• Know OAuth, OIDC, JWT and API authorization to debug in production.
• Strong PostgreSQL and relational database knowledge.
• Familiar with CI/CD, Docker, containerized deployments, and Infrastructure as Code.
• Able to trace requests across services using metrics, traces, and logs.
• Excellent written communication for async, distributed teams.
• Pick focus: APIs/auth OR Operations OR Gateways & distributed systems.

Responsibilities

• Build and operate the production backend services behind Supabase’s AI products, including the MCP server: deployment, scaling, configuration and release.
• Take ownership of how those services are structured, including splitting or reshaping a service when that makes it safer to run and easier to change.
• Define, measure and meet reliability targets for the services the team runs. Set SLOs with the SRE team, track error budgets, and use them to decide what to fix first.
• Participate in the AI Tooling team on-call rotation, and be a first responder for incidents in those services. Investigate, fix, coordinate with other teams during incidents, and write the follow-ups and runbooks.
• Work the AI Tooling team support queue alongside on-call, and turn recurring issues into fixes rather than repeated manual answers.
• Own authentication and authorization for AI and agent clients: OAuth apps, scoped tokens, and permissions that make sense for agents as well as humans, including how we change or deprecate a permission without breaking existing integrations.
• Own observability for the services the team runs: metrics, traces, logs, dashboards and alerts, so we find problems before customers do.
• Handle capacity and abuse for agent traffic: rate limits, cost and safety controls, and behavior under load or when a dependency degrades.
• Improve the architecture of the services the team owns as they grow, including splitting or reshaping a service when that makes it safer to run and easier to change.
• Work with the Platform team on shared code, review ownership and release process, and with the SRE team on infrastructure, alerting and incident practice.
• Contribute to the code of the AI Tooling team’s tools, such as the MCP server, where it affects reliability and security, in partnership with the engineers who own the product surface.

Skills

Backend services

TypeScript

Go

APIs & auth

OAuth / OIDC / JWT

PostgreSQL

CI/CD

Docker

Infrastructure as Code

Observability

Tools

Kubernetes

Job description

Supabase is seeking a Software Engineer for AI Tooling Infrastructure to build and operate backend services behind our AI products. You’ll own the MCP server and contribute to reliability, security, and scalability of AI tooling infrastructure.

You’ll collaborate with Platform, SRE, Auth, Billing and Edge Functions teams, and own authentication, observability, and incident response across distributed services in a fully remote, global company.