Software Engineer, Enterprise Apps

As a Software Engineer, Enterprise Apps on the EAA Consumer CXAE team within Coinbase's Enterprise Applications and Architecture org, you'll build the platforms and services that power customer experience workflows for Coinbase's support agents. This team is responsible for the tools and applications that help CX agents resolve customer issues faster and more accurately. You'll own full-stack development of high-impact internal applications, shipping features that drive agent productivity and customer satisfaction at scale.

What you'll do:

• Build and ship full-stack services and applications using Golang, gRPC, TypeScript, and React to support CX agent workflows and automation.
• Own the design and implementation of third-party platform integrations that extend the capabilities of Coinbase's internal CX tooling.
• Partner with team members on architecture decisions, code reviews, and engineering best practices across testing, deployment, and observability.
• Identify and mitigate technical risks during design and implementation to maintain platform reliability for high-traffic, production systems.
• Translate complex technical concepts into clear narratives for non-technical stakeholders across CX, product, and leadership teams.

Required Skills and Experience:

• 3+ years of software engineering experience, including 3+ years building and shipping user-facing web applications with JavaScript and modern component-based frameworks (React).
• Proficiency in Go, with hands-on experience building scalable backend services using gRPC, event-driven architectures (Kafka or similar), and SQL or NoSQL databases.
• Experience operating production systems on AWS with Kubernetes, Terraform, and CI/CD tooling (BuildKite or similar), including implementation of rate limiters, caching, load balancing, and circuit breakers.
• Demonstrated experience integrating with third-party vendor APIs and SaaS platforms in a production environment.
• 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.