Senior Backend Engineer (Node.js & SQL)

About the role Skills: Node.js, React, TypeScript, PostgreSQL Help engineers fix what matters. You’ll work closely with PMs, designers, and engineers to build fast, reliable backends that power real-time infrastructure insights for thousands of engineers. What we’re looking for: GMT+2 to GMT-6 time zone. We work primarily async via Slack, with regular overlap for pairing, reviews, and design discussions. Strong Node.js and TypeScript experience. You know how to track down memory leaks and performance issues. You can write complex PostgreSQL queries, understand query plans, and know when to reach for indexes, window functions, or CTEs. You’ve debugged deadlocks, optimized slow queries, and can untangle gnarly data models. You have a strong bias for action. You take ownership of problems end-to-end, make pragmatic decisions, ship iteratively, and jump on production issues when they matter. You've built something you're proud of. You’ll thrive in an amazing, experienced, hardworking, respectful, supportive, and fun team. You fix problems with tooling rather than adding process. We build and maintain our own internal CLI to streamline day-to-day engineering work, and we appreciate other good tools like Linear and Notion. (Preferred) You've worked with GraphQL and understand how to design flexible, efficient schemas. Examples of challenges we have worked on recently: Scaled to support customers with thousands of GitHub organizations and tens of thousands of repositories. This has required us to overhaul our APIs, interfaces, onboarding processes, infrastructure, and more. Automatically fixing infrastructure issues. With infrastructure changes there's a lower tolerance for AI-generated slop - there's not the same safety nets in terms of testing and the risk is often higher. We've been iterating on our system that combines the AI-generated changes with our best-in-class static analysis engine to robustly open good-quality PRs to fix the most important issues for our customers. Built the Issue Explorer**,** a frontend and backend system for surfacing infrastructure issues at scale. We had to balance performance, UX, and data complexity to let enterprise customers filter, group, and chart tens of thousands of issues across