System Engineer

About the RoleWe are looking for a Systems Engineer to build reliable, scalable infrastructure for our AI-native software engineering platform. You'll work on distributed backend services, storage systems, networking, and performance optimization while collaborating closely with ML and Product Engineers to deliver production-ready AI experiences.This role is ideal for engineers who enjoy solving low-level systems problems, optimizing performance, and building infrastructure that supports millions of code analysis operations.Key ResponsibilitiesDesign and build high-performance distributed backend systems.Develop scalable APIs and services for AI-powered code intelligence.Optimize latency, concurrency, and resource utilization across production infrastructure.Build reliable storage and data processing pipelines for large code repositories.Improve observability through logging, monitoring, and performance diagnostics.Collaborate with ML Engineers to support model serving and inference infrastructure.Contribute to system architecture, reliability, and security best practices.Must-Have Skills4+ years of backend or systems engineering experienceStrong Rust, Go, C++, or JavaExperience building distributed systems and microservicesLinux systems programming and networking fundamentalsStrong database design (PostgreSQL or similar)Cloud infrastructure experience (AWS preferred)Excellent system design and debugging skillsProven ownership of production infrastructureNice to HaveKubernetes, Docker, or container orchestrationHigh-performance computing or concurrency optimizationgRPC, message queues, or event-driven architectureExperience supporting LLM or ML inference platformsOpen-source systems or developer tools backgroundIdeal CandidateWe're looking for a hands-on engineer who enjoys building foundational infrastructure rather than product features. The strongest candidates have experience designing resilient distributed systems, optimizing backend performance, and taking complex technical projects from architecture to production.Remote? ❌ No — On-site in San Francisco.