Staff Software Engineer, Compute Platform (Routing)

Coinbase is focused on increasing economic freedom and building the future of finance. The Staff Software Engineer will own and enhance the routing layer connecting Coinbase services to customers, designing scalable infrastructure based on Envoy, Istio, Kubernetes, and related CNCF technologies. The role also involves improving routing performance and reliability, advancing developer tooling, and partnering with cross-functional platform teams.

Responsibilities:

• Own the design, development, and automation of routing infrastructure that directs application traffic to Kubernetes backends at scale
• Build capabilities on top of Envoy-based reverse proxies, Istio gateways, Ambient mesh, and SPIFFE service authentication
• Drive measurable improvements to latency, reliability, and performance of application routing systems across Coinbase's production environment
• Shape the paved-road developer experience for operating applications at Coinbase, with emphasis on AI-driven tooling, processes, and support
• Partner with Security, Reliability, and Observability teams to ensure routing infrastructure meets cross-cutting platform requirements

Requirements:

• 8+ years of experience in software engineering and infrastructure roles
• 5+ years of hands-on engineering experience with application routing technologies including reverse proxies, ingress controllers, CDN/WAF, and service mesh
• Proficiency in one or more systems programming languages (Go, Python, or Java) with experience building and shipping production-grade infrastructure services
• Demonstrated experience scaling backend infrastructure on AWS, with working knowledge of networking, compute, and container orchestration services
• Deep familiarity with the CNCF ecosystem (Kubernetes, Envoy, Istio) and proven ability to extend or contribute to these technologies in production
• Track record of diagnosing complex distributed systems issues, identifying root causes, and driving them to resolution independently
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality, including applying AI tooling to infrastructure workflows to improve efficiency, reliability, or developer velocity