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Salary: CAD 154,000 - 154,000 / annual
Join Coinbase's Money Movement team within the Developer product group to build infrastructure powering the future of global payments. The Coinbase Developer Platform (CDP) integrates payments, trading, wallets, and stablecoins through unified onboarding and self-service APIs. In this role, you'll design and build backend systems for stablecoin-based pay-ins, payouts, deposits, and withdrawals, enabling fast, secure, and scalable value transfers across the Coinbase ecosystem and beyond.
Key responsibilities include owning projects end-to-end as the Directly Responsible Individual, driving stablecoin-based money movement features from system design through production deployment. You'll build backend systems, infrastructure, and internal/external APIs enabling businesses and partners to embed stablecoin-powered payments into their products. Collaboration with Product, Design, Infrastructure, and Compliance teams is essential to translate requirements into robust, scalable solutions balancing speed, security, and regulatory needs.
You'll execute performance, scalability, and reliability improvements across distributed systems, identifying bottlenecks and driving fixes before they impact customers. You'll also support engineering quality through code reviews, architectural best practices, and contributing to patterns that raise the technical bar.
Required experience includes 2+ years building and operating backend systems, ideally in fintech, payments, or crypto. You need proficiency in backend languages (Go, Java) and cloud infrastructure (AWS, GCP), with hands-on experience designing distributed systems and APIs. A track record of serving as DRI for technical projects, driving end-to-end delivery from system design through production, is essential. Experience integrating with or building on blockchain/crypto technologies—stablecoins, on-chain payments, smart contract platforms (Ethereum, Solana, Base)—is required. You should demonstrate ability to write technical design documents and communicate architecture trade-offs to stakeholders, and utilize generative AI responsibly with human oversight to deliver business-ready outputs.
