Top Software Engineer Jobs

Lead architecture and technical direction for Payments platform, building scalable, fault-tolerant distributed systems, defining roadmaps, ownership of production reliability, cross-functional partnership, and mentoring engineers to improve platform quality and scalability.

The Staff Software Engineer will drive the technical vision and execution of complex trading system projects while mentoring engineers and fostering high-quality practices.

Seeking a Senior Software Engineer for the Consumer Trading team to lead the design and development of trading systems, mentor engineers, and drive technical initiatives across teams.

Build and improve frontend experiences for login, signup, OAuth, account security, and multi-user/org support. Contribute to migrating main views to React Native, design high-performance React/TypeScript UIs, collaborate with backend engineers and product teams, and write well-tested, reliable code to maintain low-latency user surfaces at scale.

The Senior Software Engineer will manage data systems, develop scalable pipelines, ensure data security, and build self-service applications for users at Coinbase.

Lead long-term technical vision and roadmap for the Overseer platform to ensure correctness across Coinbase fund flows. Own architecture, design and delivery of real-time detection, invariant frameworks, and partner APIs. Drive cross-team alignment, set engineering standards, mentor engineers, lead P0 initiatives, and apply generative AI responsibly to scale automated guardrails and enforcement capabilities.

Lead front-end technical strategy for Coinbase Advanced trading platform: define and execute a scalable roadmap, deliver a low-latency interface across web and mobile, mentor engineers, anchor complex projects, and ensure high standards for code quality and system design.

Lead architecture and implementation of Coinbase's Risk Platform: build high-throughput, low-latency real-time fraud detection, decisioning, and mitigation systems. Define multi-quarter technical strategy, partner with Data Science/ML/Product/Compliance, implement AI-native agent-driven workflows, and mentor engineers to improve reliability, performance, and scale.

Lead design and delivery of backend risk systems to detect and prevent fraud, manage credit and market risk, and protect users. Drive architecture for distributed, high-availability services, partner with Data Science/ML and product teams, build AI-native detection and response systems, mentor engineers, own operational excellence, and lead incident response and post-mortems.

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