Join the Money Movement team within the Coinbase Developer Platform (CDP) and help build the infrastructure powering the future of global payments. CDP brings together payments, trading, wallets, and stablecoins through a single onboarding flow and self-service APIs. You'll design and build the core backend systems for stablecoin-based pay-ins, payouts, deposits, and withdrawals, enabling fast, secure, and scalable transfers across borders and platforms that underpin how value moves across the Coinbase ecosystem and beyond.

What you'll do:

• 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.
• Partner with cross-functional teams including Product, Design, Infrastructure, and Compliance to deliver robust, scalable solutions.
• Identify and resolve performance, scalability, and reliability challenges across distributed systems.
• Mentor engineers on architectural best practices and contribute to raising the technical bar across the team.

Required Skills and Experience:

• 5+ years of professional software engineering experience building and operating large-scale backend systems, ideally in fintech, payments, or crypto.
• 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.
• Track record of serving as DRI for complex technical projects, driving end-to-end delivery from system design through production deployment.
• 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.
• 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.