We are looking for an experienced Software Engineer to build, operate, and scale the backend infrastructure powering innovative AI-driven developer tools. You will focus on ensuring reliability, security, performance, and observability in an environment where AI-driven traffic introduces unique infrastructure challenges. Build, deploy, operate, and scale production backend services supporting AI-powered developer tools. Own service architecture and infrastructure decisions, improving system reliability, maintainability, scalability, and deployment processes. Define and monitor service reliability objectives (SLOs), track error budgets, and prioritize improvements in collaboration with Site Reliability Engineering (SRE) teams. Contribute to the development of AI tooling infrastructure, ensuring that reliability, security, and performance remain central to engineering decisions. At least 5 years of experience building, deploying,



and operating production backend services, including participation in on‐call rotations. Strong programming skills in TypeScript or Go, with practical working knowledge of the other language. Good knowledge of PostgreSQL and relational database systems. Experience with CI/CD pipelines, Docker, containerized deployments, and Infrastructure as Code (IaC). Ability to troubleshoot distributed systems using metrics, logs, and traces to identify performance bottlenecks and service failures. Familiarity with observability platforms such as Grafana, OpenTelemetry, or Logflare, along with practical experience implementing SLOs. Contributions to open-source projects, particularly within the Node.js, Go, TypeScript, or API tooling ecosystems. #

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