Senior Software Engineer - Blockchain Network

About the Role

As a Senior Software Engineer on the Blockchain Networks team within the Platform group, you'll build the critical infrastructure that integrates blockchain protocols with Coinbase's internal services for new assets, stablecoins, and staking. This team translates complex blockchain operations and state machines into simple, reliable APIs that product teams across Coinbase depend on. You'll own multi-quarter technical initiatives and ship platform primitives that directly improve the latency, reliability, and cost of our crypto stack.

What you'll do

• Own the design and delivery of blockchain network infrastructure that abstracts blockchain complexity into reliable, platform APIs
• Lead multi-quarter initiatives including new chain integrations, re-architecture efforts, and data migrations that improve system latency, reliability, and cost
• Define and maintain APIs, SLOs, and observability for the systems you build, including on-call ownership
• Partner with product and platform teams to establish data contracts and ship SDKs and platform primitives that drive adoption across Coinbase
• Build deep technical context across multiple top blockchain protocols (e.g., Bitcoin, Ethereum) and apply that knowledge to simplify cross-chain operations

Required Skills and Experience

• 5+ years of software engineering experience, with demonstrated ownership of production services in a service-oriented architecture
• Proven track record designing, scaling, and maintaining distributed systems handling high-throughput, low-latency workloads
• Hands-on experience with at least two of the following: Golang, Kafka, Redis, MongoDB, or similar infrastructure technologies
• Direct experience with blockchain protocols or crypto infrastructure (e.g., integrating with Ethereum, Bitcoin, or similar L1/L2 networks)
• Demonstrated ability to decompose complex systems (monoliths, legacy architectures) into well-bounded microservices with clear API contracts
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.