Software Engineer

What you'll do

• Build, ship, and help operate features and components of core developer-infrastructure services — spanning CI and build systems, deployment orchestration, and test infrastructure — that are fast, reliable, and secure by default at Coinbase scale.
• Contribute to improvements in the metrics every engineer feels: build and CI wall time, deploy speed and safety, and test feedback time and flakiness.
• Own well-scoped components end to end — from implementation through testing, rollout, and monitoring — and participate in your team's on-call rotation.
• Write high-quality, well-tested, observable code, and build for production from day one.
• Collaborate with engineering teams across Coinbase (your customers) to understand pain points and translate them into concrete platform improvements.
• Contribute to technical design discussions for team projects, and independently drive your own work items to completion.
• Grow your impact by sharing knowledge, giving thoughtful code reviews, and raising the quality bar around you.

Required Skills and Experience

• 2+ years building and operating production software, with solid fundamentals in distributed systems and proficiency (or a strong ability to ramp) in a language like Go (or similar).
• A track record of shipping backend or platform features that other engineers or services depend on, with ownership from implementation through production.
• Good operational instincts — you care about reliability, security, and observability, and you write code with production in mind.
• Clear communication and the ability to drive scoped projects to completion with limited guidance and collaborate effectively across a team.
• A customer-focused mindset: you measure success by the impact your systems have on other engineers.
• Exposure to a developer infrastructure or platform domain: CI/CD, build systems, deployment/release tooling, test infrastructure, or developer productivity engineering.
• Experience with Kubernetes, AWS, GitHub Actions, Terraform, or containers (Docker/OCI).
• Experience with observability and performance tooling (e.g., Datadog) to measure and improve system behavior.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.