Software Engineer - Salesforce Platform (EAA)

Coinbase is a company committed to increasing economic freedom, and they are seeking a Software Engineer for their Enterprise Apps team. The role involves designing and delivering Salesforce capabilities that support various business workflows, ensuring high-quality engineering and operational excellence.

Responsibilities:

• Design, build, and maintain Salesforce applications and platform capabilities using Apex, Lightning Web Components, Flows, and other Salesforce technologies across multiple orgs
• Own end-to-end delivery of features and enhancements for STP, from technical design and estimation through implementation, testing, deployment, and post-launch support
• Build and operate integrations between Salesforce and internal/external systems using REST APIs, Platform Events, middleware platforms, and ETL tooling to enable reliable cross-system data flows
• Partner with product managers, architects, admins, and business stakeholders across Sales, Compliance, Legal, and Institutional Ops to translate requirements into scalable technical solutions
• Drive engineering quality through code reviews, design reviews, documentation of technical patterns and runbooks, and mentorship of IC3 and contractor developers
• Support operational excellence through on-call rotations, production issue triage, root cause analysis, and hardening of critical platform services

Requirements:

• 4+ years as a Salesforce Developer or equivalent Salesforce-focused engineering role, with deep proficiency in Apex, LWC, Flows, security/sharing models, packaging, and release management
• Demonstrated experience designing complex Salesforce solutions in Service Cloud, Sales Cloud, or Experience Cloud, including case management, Omni-Channel routing, or partner portals
• Hands-on experience building and operating integrations between Salesforce and other systems using REST APIs, Platform Events, middleware/automation platforms, and ETL tooling
• Solid foundation in software engineering fundamentals, including testable architectures, version control (Git), CI/CD pipelines, and multi-sandbox environment management
• 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