Senior Software Engineer (Core Reliability)
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- As a Senior Software Engineer, Core Reliability on the Infra Reliability team within Platform, you’ll help Coinbase scale 50x by improving reliability, security, and deployment safety across our production environment
- This team owns the systems that secure service configurations and secrets, reduce customer-facing incidents, and strengthen deployment infrastructure supporting thousands of services and hundreds of daily releases
- You’ll lead high-impact reliability projects that make our entire service environment more resilient and safer for customers
- Own the design and delivery of reliability projects and features that improve resiliency across Coinbase’s service environment in partnership with other engineering teams
- Partner with critical T0/T1 services to understand architecture, improve scalability, and reduce operational toil
- Build and enhance systems that securely manage service configurations and secrets at scale
- Improve canary-based release systems and expand deployment capabilities to support thousands of services and hundreds of daily deployments with fewer incidents
- Drive reliability best practices and strengthen reliability culture across engineering teams at Coinbase
- Ability to participate in on-call rotations and respond to issues outside normal business hours
- Proven experience with observability and monitoring tools (e.g., Kibana, Datadog) to debug complex production issues, tune system performance, and reduce incident frequency
- 5+ years of software engineering experience designing, building, and maintaining production services in service-oriented architectures, including experience with Ruby, Go, Terraform, and cloud platforms (AWS, GCP or Azure)
- Experience writing and verbally communicating architecture decisions to cross-functional engineering stakeholders
- Demonstrated ability to design and operate reliable, high-throughput, low-latency distributed systems at scale, with a track record of writing well-tested, production-quality code
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality