Software Engineer, Enterprise Apps

Location: Remote - Brazil

Department: Enterprise Applications

As a Software Engineer, Enterprise Apps on the CX Shared Agent Platforms and SFDC Solutions team within Coinbase's Enterprise Applications and Architecture org, you'll build the platforms and services that power customer experience and compliance operations across Coinbase. This team develops scalable internal tools, agent workflows, and integrations that help CX agents resolve customer issues and manage KYC and compliance processes with greater speed and accuracy. You'll own full-stack development of services and applications that directly improve 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, implementation, and integration of third-party platforms (Salesforce, Maestro QA, Assembled) that extend Coinbase's internal CX tooling capabilities.
• Drive platform modernization efforts, including support for strategic platform transitions and evolving the agent platform landscape.
• Partner with product, design, security, and data teams to deliver cross-functional solutions to complex operational and compliance challenges.
• Lead code reviews, architecture discussions, and testing practices that raise the quality bar across the team and support reliable, high-traffic production systems.
• Identify and mitigate technical risks during design and implementation, proactively adapting approaches to maintain platform reliability.

Required Skills and Experience:

• 5+ years of experience in software engineering, with proficiency in Go and hands-on experience building scalable backend services using gRPC and event-driven architectures (Kafka or similar).
• Demonstrated full-stack development capability with TypeScript/JavaScript and modern component-based frameworks (React), delivering production-quality applications.
• Experience operating production systems on AWS with Kubernetes, Terraform, and CI/CD pipelines (BuildKite or similar), including implementation of rate limiters, caching, load balancing, and observability tooling.
• Proven track record evaluating, integrating, and extending third-party SaaS platforms in a production enterprise environment.
• Experience mentoring engineers on design patterns, testing practices, and deployment processes in a distributed, multi-timezone team.
• 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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