Top Engineering Jobs in San Francisco, CA

Lead technical strategy and architecture for Overseer, a platform enforcing correctness across Coinbase fund flows. Own multi-quarter roadmaps, design invariant frameworks, real-time detection, partner APIs, and AI-powered guardrails. Drive cross-team delivery for P0 initiatives, set engineering standards, and mentor to raise org-wide technical quality and reliability.

Lead architecture and strategy for Coinbase Payments platform: evolve rails, routing, and funds‑flow systems for global scale, reliability, low latency, and cost efficiency. Drive large cross‑team initiatives, enforce financial correctness, partner with risk/regulatory/product, mentor senior engineers, and use observability to improve platform reliability and efficiency.

The Senior Staff Software Engineer will lead technical strategy for Coinbase's Data Platform, focusing on distributed data infrastructure and AI integration. Responsibilities include driving architectural direction, mentoring teams, and ensuring real-time data availability across the organization.

Own reliability and availability of corporate IAM systems (on-call, incident response, RCAs). Build CI/CD pipelines and automation for identity platform deployments. Partner with IT, Security, and Engineering on IAM architecture (SSO, MFA, provisioning). Improve observability, DR, SLAs, and maintain runbooks and documentation for identity lifecycle.

Design and implement AI systems for customer support and compliance. Develop platforms for automation, manage projects, and mentor team members.

Design, build, and maintain high-performance frontend experiences for identity flows (login, signup, OAuth, MFA, multi-user/org). Migrate web views to React Native, collaborate with backend teams and designers, ensure low-latency reliable UIs, and write well-tested production-grade code.

The Senior Software Engineer for Data Platform at Coinbase will design, build, and operate data services, manage data pipelines, and ensure data security and observability, leveraging skills in Python, Go, Java, SQL, and more to support analytics and machine learning across the company.

Own reliability, monitoring, and incident response for AI infrastructure on AWS. Build automation, CI/CD tooling, and Kubernetes deployment workflows. Improve observability and documentation, partner with Infrastructure and Security, and develop internal full-stack apps using Go or Python.