Top Tech Jobs & Startup Jobs in NYC, NY

As a Staff Software Engineer at Coinbase, you'll build systems for crypto trading, mentor other engineers, and ensure product excellence by architecting robust, highly available services.

Lead end-to-end product design for Coinbase Advanced Trading across web and mobile. Drive zero-to-one and improvement initiatives for complex, data-dense trading workflows, design scalable patterns and information architecture, prototype and deliver high-quality UI, and coach/mentor junior designers while partnering with Product, Engineering, and Research.

Design, build, and operate core developer-infrastructure services (CI/build, deployment orchestration, test infra) at scale. Own services end-to-end including SLOs, observability, and on-call; drive measurable improvements in build/deploy/test metrics; lead cross-team technical projects and mentor engineers to improve developer productivity.

Design and implement AI systems for customer support and compliance, architect solutions, mentor team members, and manage project deliverables.

Lead technical strategy for Solana staking at Coinbase, optimizing validator performance and driving cross-product integration while mentoring engineers.

Lead technical strategy and architecture for Coinbase Payments, building high-availability, low-latency payment rails and funds-flow systems. Drive cross-team initiatives, enforce financial correctness (idempotency, reconciliation, auditability), improve reliability and cost efficiency using observability data, mentor senior engineers, and align stakeholders across product, risk, and compliance to deliver scalable global payment solutions.

Lead the technical strategy for Coinbase's Data Platform, architecting data systems for AI/ML workloads and ensuring data reliability, performance, and cross-functional alignment.

Own fraud detection and mitigation for ACH payments: design controls, run investigations, analyze performance (precision/recall, financial impact), and partner with Product, Data Science, Risk ML, and Engineering to operationalize risk strategies and transition to model-driven controls.

The Senior Software Engineer will design and maintain data systems, create data integration SDKs, and implement data security measures while collaborating with product teams and managing data pipelines.

Lead ML data and feature strategy for fraud detection, own end-to-end feature engineering pipelines, close tooling gaps and drive infrastructure roadmap, partner with ML engineers to productionize models, mentor junior staff, collaborate with product and risk teams, and serve as the team's institutional expert on ML evolution for ATO and scam prevention.