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Salary: USD 186,065 - 218,900 / annual
Join Coinbase's Advanced Trading team as a Senior Software Engineer, Backend. You'll own the end-to-end design, development, and reliability of high-performance backend services that power trading experiences for customers globally. This role focuses on building scalable systems using Golang and gRPC, optimizing conversion funnels through data-driven experimentation, and accelerating time-to-market for new features by making thoughtful system design trade-offs.
Key responsibilities include:
- Design, develop, and maintain high-performance backend services using Golang and gRPC for seamless trading experiences
- Lead rapid experimentation and optimization of conversion funnels for key trading journeys
- Drive accelerated feature delivery by balancing performance, scalability, and maintainability
- Champion software engineering best practices in design, coding, testing, documentation, monitoring, and alerting
- Partner cross-functionally with engineers, product managers, and designers across time zones to translate product vision into quarterly roadmaps
Coinbase is a remote-first company with quarterly in-person "surge" sessions for intense collaborative work. The environment is high-intensity and mission-driven, focused on increasing economic freedom through cryptocurrency and blockchain technology.
REQUIREMENTS:
- 5+ years of professional backend software engineering experience designing, building, scaling, and maintaining production systems
- Significant hands-on experience with Golang and gRPC
- Proven track record designing scalable service architectures and making system design trade-offs in high-throughput environments
- Hands-on experience with AWS, Kubernetes, Terraform, Datadog, or similar cloud infrastructure tools
- Working knowledge of event-driven architectures (Kafka, MQ, or similar)
- Experience with SQL or NoSQL databases, third-party API integrations
- Modern development practices including GraphQL and ETL pipelines
- Demonstrated ability to take ambiguous, multi-quarter projects from concept to production with minimal guidance
- Responsible use of generative AI with human oversight to deliver business-ready outputs
