Top Engineering Jobs in San Francisco, CA

Lead the architecture, integration, and adoption of Taskrabbit’s experimentation and feature-flagging platform. Build high-performance TypeScript APIs and foundational services, integrate with Ruby on Rails systems, and improve platform reliability, scalability, and developer experience. Mentor engineers, establish experimentation strategy with product and engineering leaders, and advise senior leadership on architecture and platform initiatives.

Lead the architecture and adoption of shared platform capabilities, including authentication, identity, event-driven systems, and API infrastructure. Build TypeScript APIs and foundational services, integrate with Ruby on Rails systems, improve performance, reliability, security, and developer experience, and guide technical strategy. Mentor engineers and partner with product and engineering leadership to deliver scalable platform initiatives.

Senior Full Stack Engineer responsible for architecting and delivering AI-driven backend and frontend systems. The role leads complex technical initiatives, defines roadmaps, designs scalable APIs and data models, and champions JavaScript, Node.js, testing, observability, and Spec-Driven Development. It requires building and scaling distributed, event-driven microservices; working with financial infrastructure; mentoring engineers; and translating ambiguous business objectives into reliable technical solutions.

Drives platform modernization across engineering teams by applying target-state architecture, AI-assisted development, and Spec-Driven Development. Partners directly with engineers and technical leads, contributes code and technical designs, guides migration strategy, reviews TDDs and RFCs, establishes engineering standards, and coaches teams on scalable backend, distributed-system, and event-driven architecture practices.

Lead architecture and complex cross-team initiatives for Taskrabbit’s Tasker and Supply marketplace systems. Build onboarding, eligibility, geography, and matching capabilities using Ruby on Rails and Sorbet, while advancing strongly typed TypeScript service contracts. Improve reliability, observability, and alerting with Kafka and Datadog; resolve difficult production issues, reduce technical debt, mentor engineers, promote testing and AI-driven development, and influence technical strategy across teams.