Software Engineer – AI Tooling Infrastructure

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Develop and manage production backend services supporting Supabase’s AI offerings, including the MCP server.

• Oversee deployment, scaling, configuration, and release processes.

• Organize, divide, or reconfigure services to enhance safety and maintainability.

• Establish, assess, and achieve reliability targets; define SLOs, monitor error budgets, and prioritize resolutions.

• Join the AI Tooling team’s on-call rotation and respond to incidents as needed.

• Investigate and resolve incidents, collaborate with other teams, and document follow-ups and runbooks.

• Manage the team support queue and convert recurring issues into permanent solutions.

• Oversee authentication and authorization for AI and agent clients, including OAuth applications, scoped tokens, permissions, and deprecation strategies.

• Ensure observability through metrics, traces, logs, dashboards, and alerts.

• Manage capacity and prevent abuse for agent traffic, including implementing rate limits, cost controls, safety measures, and handling degraded-dependency behavior.

• Enhance service architecture as systems evolve.

• Collaborate with Platform on shared code, ownership, and release processes.

• Work together with SRE on infrastructure, alerting, and incident management practices.

• Contribute to the AI Tooling team’s codebase where it impacts reliability and security.

⛳️ Requirements

• Minimum of 5 years of experience in building and operating backend services in a production environment, including on-call responsibilities.

• Proficiency in TypeScript or Go, with a willingness to work in the other language.

• Experience in designing and managing APIs for real users, focusing on versioning, error handling, rate limiting, and backward-compatible changes.

• Strong understanding of OAuth, OIDC, JWT, and API authorization mechanisms.

• Good grasp of PostgreSQL and relational database concepts.

• Familiarity with CI/CD practices, Docker, containerized deployments, and infrastructure as code methodologies.

• Capability to debug across services utilizing metrics, traces, and logs.

• Excellent written communication skills and ability to collaborate with diverse stakeholders in asynchronous, globally distributed teams.

• Comfort in dealing with ambiguity and the ability to act swiftly.

• Deep expertise in at least one of the following areas: APIs and authentication; production operations; gateways and distributed systems.

• Experience with agent tooling or handling AI agent and LLM client traffic is a plus.

• Experience in extracting a service from a larger codebase while maintaining functionality for existing clients is advantageous.

• Familiarity with Grafana, OpenTelemetry, Logflare, or similar observability tools, as well as real SLO work, is beneficial.

• Contributions to open-source projects, particularly in Node.js, Go, TypeScript, or API tooling, are a plus.

🏝️ Benefits

• Fully remote work environment.

• WeWork membership or co-working allowance available globally.

• Employee Stock Ownership Plan (ESOP) for all team members.

• Technology allowance for laptops, monitors, headphones, or other work-related equipment.

• Comprehensive health insurance coverage: 100% for employees and 80% for dependents, regardless of location.

• Annual company off-site events.

• Flexible and asynchronous working arrangements.

• Annual education allowance for courses, books, conferences, or other learning opportunities.