Staff Software Engineer, Core Reliability

Coinbase is a company focused on increasing economic freedom, and they are seeking a Staff Software Engineer in Core Reliability. In this role, you will help scale systems by improving reliability, security, and deployment safety across the production environment.

Responsibilities:

• Build and launch reliability projects and features that improve resiliency across our service environment in partnership with reliability teams
• Work closely with critical T0/T1 services to understand architecture, improve scalability and reliability, and reduce operational toil
• Build and enhance systems that securely manage service configurations and secrets at scale
• Improve canary-based release systems to make deployments safer and reduce incidents
• Expand deployment capabilities to support thousands of services and hundreds of daily deployments
• Partner across teams to promote reliability best practices and strengthen reliability culture across Coinbase

Requirements:

• 7+ years of software engineering experience
• Experience designing, building, scaling, and maintaining production services in service-oriented architectures
• Strong system design and coding skills, with a track record of writing high-quality, well-tested code
• Strong observability, debugging, and performance tuning skills
• Excellent written and verbal communication skills, with the ability to explain technical concepts clearly
• Sound judgment under pressure and a willingness to debug and improve any layer of the stack
• Ability to participate in an on-call rotation and respond to issues outside normal business hours
• Experience building reliable, high-throughput, low-latency systems
• Experience with observability tools such as Kibana and Datadog
• Familiarity with rapid-growth environments
• Experience with Ruby, Go, Terraform, and cloud platforms such as AWS, GCP, or Azure
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality