Senior Software Engineer (Money Movement)

Join Coinbase as a Senior Software Engineer in the Money Movement team. You will design and build the core backend systems for stablecoin-based payments, enabling fast and secure transfers across borders. You will own key projects end-to-end, build internal and external APIs, and partner with cross-functional teams. You should have 5+ years of experience in software engineering, proficiency in backend languages, and experience in fintech or crypto.

• Design, build, and maintain backend systems and infrastructure that power stablecoin-based money movement, including pay-ins, payouts, deposits, and withdrawals.
• Own key projects end-to-end as the Directly Responsible Individual (DRI), driving them from design through production with high accountability.
• Build internal and external APIs that enable businesses and partners to embed stablecoin-powered payments into their products.
• Experience integrating with or building on blockchain or crypto technologies such as stablecoins, on-chain payments, or smart contract platforms (e.g., Ethereum, Solana, Base)
• Proven ability to write technical design documents and communicate system architecture trade-offs to product and engineering stakeholders
• 5+ years of professional software engineering experience building and operating large-scale backend systems, ideally in fintech, payments, or crypto
• Track record of serving as DRI for complex technical projects, driving end-to-end delivery from system design through production deployment
• Proficiency in backend languages (e.g., Go, Java, or similar) and cloud infrastructure (e.g., AWS, GCP), with hands-on experience designing distributed systems and APIs
• 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