Systems Engineer

About the Role

We 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 Responsibilities

• Design 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 Skills

• 4+ years of backend or systems engineering experience
• Strong Rust, Go, C++, or Java
• Experience building distributed systems and microservices
• Linux systems programming and networking fundamentals
• Strong database design (PostgreSQL or similar)
• Cloud infrastructure experience (AWS preferred)
• Excellent system design and debugging skills
• Proven ownership of production infrastructure

Nice to Have

• Kubernetes, Docker, or container orchestration
• High-performance computing or concurrency optimization
• gRPC, message queues, or event-driven architecture
• Experience supporting LLM or ML inference platforms
• Open-source systems or developer tools background

Ideal Candidate

We're looking for a hands-on engineer who enjoys building foundational infrastructure rather than product features. The strongest candidates