Staff Software Engineer

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. We own test execution at scale, including smart test selection, sharding, flaky-test detection, and the observability layer that turns testing into a speed advantage instead of a bottleneck.

As AI accelerates the pace of code generation, test infrastructure is becoming a critical path for how quickly Coinbase delivers value to customers. We’re hiring a Staff Software Engineer to join Developer Infrastructure - Test — someone who can set the direction for how Coinbase tests and ships software.

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.

• Reduce the time between code changes and trustworthy test results.

• Improve test reliability so engineers can depend on signals without reruns or second-guessing outcomes.

• 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 strong 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, sharding, or test result analysis.

• Strong operational instincts with a focus on reliability, security, and observability.

• Customer-focused mindset, with success measured by impact on the engineers who depend on your systems.

• Familiarity with test selection approaches and the tradeoffs between speed and coverage.

• Experience operating at scale with Kubernetes, AWS, GitHub Actions, Terraform, and containers.

• Experience with observability and performance tooling such as Datadog, especially for distributed test execution.

• Curiosity about crypto or web3; experience in regulated or security-sensitive environments is a plus.

• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

#PID - P76990