Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

This role oversees the enterprise Vulnerability Management program, ensuring effective practices across the organization while providing risk-based governance. It involves partnerships with various teams to enhance VM processes and compliance with regulatory expectations.

This role leads risk management for digital asset initiatives, collaborating with stakeholders to assess and communicate risks, manage teams, and ensure compliance with regulations.

Analyze and deploy fraud risk models, develop detection strategies, assess trends and communicate effectively. Collaborate with stakeholders for optimal fraud risk management.

Senior individual contributor providing enterprise-wide technical leadership: designs and codes large-scale, cloud-native distributed systems, drives architectural strategy and standards, leads multi-year initiatives, mentors senior engineers, ensures security, scalability, observability, CI/CD and regulatory compliance, and communicates risks and trade-offs to executives.

Technical individual contributor and hands-on leader responsible for architecting cross-border money movement and digital asset settlement systems, resolving scalability and security challenges, mentoring engineers, shaping product and technical strategy, and ensuring resilient, compliant payment platforms across teams.

Lead architecture and technical strategy for cross-border and digital asset payment systems. Resolve scalability and security challenges, mentor engineers, drive design patterns, and collaborate with product and architecture to deliver compliant, resilient, large-scale payment solutions.

The Sr. Network Engineer designs and supports complex network solutions, driving automation and operational efficiency, and mentoring junior engineers.

The Senior Software Engineer in Test (SDET) focuses on implementing test automation in CI/CD pipelines, creating test artifacts, and ensuring software quality for APIs and applications.

Lead the design and implementation of digital asset-enabled payment platforms, ensuring compliance with regulations and delivering scalable event-driven systems.

Builds and maintains scalable ML infrastructure and pipelines for training, deployment, and monitoring. Automates orchestration, CI/CD, model versioning, and artifact management. Collaborates with data scientists and engineers to productionize real-time models, implements monitoring for model performance and drift, and supports data governance and security requirements.