The opportunity
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom.
What you'll do
Architect and deliver distributed backend systems and foundational: infrastructure components, including dynamic configuration, container orchestration, and secrets storage, using Golang, gRPC, TypeScript, and React
Lead technical direction for the team by defining strategic roadmaps with: engineering management and stakeholders, translating ambiguous problems into clear architectural plans with measurable outcomes
Build and scale high-reliability services that streamline CX agent workflows: and compliance processes, owning end-to-end delivery from design through production deployment
Mentor engineers on design techniques, coding standards, testing practices,: and operational best practices, raising the overall engineering quality bar across the team
Partner cross-functionally with teams across multiple time zones to identify: platform improvements, foresee potential issues, and communicate complex technical concepts clearly to both technical and non-technical leaders
+ years of software engineering experience, with demonstrated ability to: architect and deliver distributed systems that solve ambiguous, high-impact problems
What they're looking for
- Deep proficiency in Go (Golang) and experience building scalable,: high-traffic backend services in production, including API development (gRPC, GraphQL), event-driven architectures (Kafka, MQ), and SQL or NoSQL databases
- Hands-on experience with cloud infrastructure and DevOps tooling such as AWS,: Kubernetes, Terraform, and CI/CD pipelines (BuildKite or similar), including rate limiters, caching, load balancing, circuit breakers, and observability (metrics, logging, tracing)
- Proven track record of leading technical projects end-to-end, mentoring: engineers, and influencing architectural decisions across teams without direct authority
- Utilizes generative AI responsibly, maintaining human oversight to deliver: business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
