Senior Software Engineer

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.

What you'll do:

• 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.

Required Skills and Experience:

• 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.
• Hands-on experience with AWS, Kubernetes, Terraform, Datadog, or similar cloud infrastructure tools, and working knowledge of event-driven architectures (Kafka, MQ, or similar).
• Experience with SQL or NoSQL databases, third-party API integrations, and modern development practices including GraphQL and ETL pipelines.
• Demonstrated ability to take ambiguous, multi-quarter projects from concept to production with minimal guidance and sound technical judgment.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.