Staff Software Engineer, Developer Infrastructure

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

Coinbase's Developer Infrastructure - Test team exists for one reason: every Coinbase engineer should get fast, reliable test signals so the company can test and ship faster. As AI accelerates the pace of code generation, test infrastructure is becoming a critical path for how quickly Coinbase delivers value to customers. As a Staff Software Engineer on the Platform team, you'll set the technical direction for how Coinbase tests and ships software, owning the systems that turn testing into a speed advantage instead of a bottleneck.

What you'll do:

• Define and own the technical strategy for test infrastructure across Coinbase engineering, with feedback speed as a core design constraint.
• Build and operate core test infrastructure services, including test orchestration, smart test selection, sharding, flaky-test detection, and test result analysis.
• Drive measurable improvements in test feedback speed and signal reliability so engineers can ship with confidence and without reruns.
• Own systems end to end, including architecture, observability, SLOs, and on-call operations.
• Partner with engineering teams across Coinbase to identify bottlenecks and turn them into platform improvements.
• Mentor engineers, raise technical standards, and shape how the organization approaches test infrastructure.

Required Skills and Experience:

• 10+ years building and operating production software, with distributed systems fundamentals and proficiency in Go or a similar language.
• Track record of defining and delivering technical strategy for foundational systems that other teams depend on.
• Deep experience in test infrastructure, including test execution at scale, flaky-test detection, test selection and its tradeoffs between speed and coverage, sharding, or test result analysis.
• Proven experience operating reliable systems at scale using Kubernetes, AWS, GitHub Actions, Terraform, containers, and observability tooling such as Datadog.
• Demonstrated success measuring platform impact through developer adoption and workflow improvements, with experience building and maintaining SLOs and incident response processes.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.