Software Engineer

Coinbase•Charlotte, NC

13d•$152,405 - $179,300•Hybrid

About The Position

As a Software Engineer on the EAA Compliance CXAE team within the Platform group, you'll build the AI-first applications and services that power how CX Compliance agents work every day. This team is responsible for the platforms, tools, and integrations that streamline compliance processes, helping agents resolve customer issues and KYC workflows faster, with greater accuracy, and at scale. You'll own full-stack feature delivery across Golang and React, ship third-party integrations, and directly improve the productivity and compliance experience for millions of Coinbase customers. This role is based in Charlotte, NC.

Requirements

2+ years of software engineering experience building large-scale, user-facing systems with Golang, React, and cloud technologies (AWS, Kubernetes, Terraform, or similar).
Hands-on experience with distributed systems patterns including rate limiters, circuit breakers, caching, load balancing, and event-driven architectures (Kafka, MQ, or similar), plus proficiency in SQL or NoSQL databases.
Demonstrated ability to author and contribute to technical architecture decisions, translating complex technical concepts into clear documentation and communication for both technical and non-technical stakeholders.
Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Responsibilities

Own end-to-end development of user-facing features across the compliance agent platform using Golang, React, and cloud technologies, from design through production deployment.
Lead assessment, selection, and implementation of third-party tools and vendor integrations that extend platform capabilities and accelerate delivery.
Partner with product, design, security, and data teams to deliver cross-functional solutions to complex compliance and CX problems.
Build and maintain scalable, high-traffic services leveraging event-driven architectures, caching, load balancing, and observability tooling across AWS and Kubernetes.
Mentor engineers on design patterns, coding standards, testing strategies, and deployment best practices to raise the overall quality bar for the team.