Principal Software Development Engineer on AI Model Serving team at Workday. Leading technical direction and design decisions for large - scale distributed systems and machine learning deployment.
About the role
- Senior Software Engineer joining Coinbase to design and build backend systems for stablecoin-powered payments. Collaborating with cross-functional teams to deliver scalable money movement solutions.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision)
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