Senior Software Engineer
Posted
Summary
Senior Backend Engineer on Coinbase's Advanced Trading team, building and scaling high-performance trading services using Golang, gRPC, and cloud infrastructure (AWS, Kubernetes). Owns end-to-end design of real-time notification, asset discovery, and social features, driving experimentation and system reliability.
- Join the Advanced Trading team within the Consumer & Business group as a Senior Software Engineer, Backend helping scale Coinbase Advanced trading products for customers around the globe
- You’ll own the design and delivery of social, asset discovery, and real-time notification experiences that drive awareness and engagement across a wide range of asset classes, taking complex projects from concept to production with minimal oversight
- Own the end-to-end design, development, and reliability of high-performance backend services using Golang and gRPC, enabling seamless trading experiences for customers worldwide
- Lead rapid experimentation and optimization of conversion funnels for key trading journeys, using data to prioritize high-impact opportunities
- Drive accelerated time to market for new features by making system design trade-offs across performance, scalability, and maintainability
- Champion software engineering best practices in design, coding, testing, documentation, monitoring, and alerting, raising the bar for the team
- Partner cross-functionally with engineers, product managers, and designers across multiple time zones to translate product vision into quarterly roadmaps and high-impact outcomes
- 5+ years of professional backend software engineering experience designing, building, scaling, and maintaining production systems, with significant experience in Golang and gRPC
- Proven track record designing scalable service architectures and making system design trade-offs across performance, reliability, and maintainability in high-throughput environments
- Experience with SQL or NoSQL databases, third-party API integrations, and modern development practices including GraphQL and ETL pipelines
- Hands-on experience with AWS, Kubernetes, Terraform, Datadog, or similar cloud infrastructure tools, and working knowledge of event-driven architectures (Kafka, MQ, or similar)
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
- Demonstrated ability to take ambiguous, multi-quarter projects from concept to production with minimal guidance and sound technical judgment