Software Engineer, EAA

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

Join the EAA Compliance CXAE team within the Platform group as a Software Engineer building AI-first platforms that transform how CX Compliance agents work. This team owns the tools, services, and applications that streamline compliance and KYC processes, helping resolve customer issues faster with greater accuracy. You'll build full-stack applications using Golang and React that enable compliance agents to increase productivity, drive automation, and deliver impact at scale through custom development and third-party integrations.

What you'll do:

• Build end-to-end user-facing features using Golang, React, and cloud technologies for CX compliance agent platforms
• Lead assessment, selection, and implementation of third-party tools and vendor integrations that extend platform capabilities
• Drive cross-functional outcomes on complex problems in collaboration with product, design, security, data, and peer engineering teams
• Own technical architecture decisions and implement scalable, high-traffic services across event-driven and distributed systems
• Mentor engineers on design techniques, coding standards, testing practices, and deployment processes

Required Skills and Experience:

• 4+ years of production software engineering experience building large-scale systems with Golang, React, and cloud technologies (AWS, Kubernetes, Terraform)
• Demonstrated experience integrating third-party vendor APIs and SaaS platforms into production systems
• Proficiency in distributed systems patterns including rate limiters, caching, load balancing, circuit breakers, and event-driven architectures (Kafka, message queues)
• Hands-on experience with observability and reliability tooling including metrics, logging, tracing, and debugging in production environments
• Working knowledge of gRPC, GraphQL, SQL or NoSQL databases, and ETL pipelines
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.

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