Top Engineering Jobs in San Francisco, CA

Design and build scalable services, APIs, platform capabilities, and product features. Own architecture and technical decisions, improve reliability and engineering practices through testing and operations, collaborate cross-functionally, mentor engineers, and help guide team direction.

Lead development productivity initiatives by building secure, scalable CI/CD infrastructure, automated delivery pipelines, self-service developer tooling, reproducible builds, and self-healing test environments. Improve local development, release processes, system reliability, and engineering standards across SaaS, mobile, and embedded products. Mentor engineers, guide platform direction, and collaborate with stakeholders across the organization.

Lead the direction and development of developer productivity platforms, automated CI/CD and release pipelines, self-service engineering tools, local development environments, reproducible builds, and self-healing infrastructure. Improve system performance, reliability, testing, and software delivery across SaaS, mobile, and embedded products. Mentor engineers, facilitate collaboration, and promote engineering best practices across the organization.

Lead and build Motive's developer platform to enable AI-driven, agentic development: cloud sandbox infrastructure, CI/CD and build systems, testing frameworks, developer experience, LLM/agent evaluation, governance, multi-region operation, and manager-of-managers leadership to increase engineering velocity and quality.

Lead and scale a multi-functional platform engineering organization (SRE, Operations, Data & AI Platform, Database Engineering). Own the cloud platform and infrastructure-as-product, drive multi-quarter initiatives to improve developer velocity and reliability, solve scalability and system reliability problems, partner with product and engineering leaders, manage vendors and cost governance, and raise engineering quality and operational excellence.

Build and operate scalable, highly observable backend services and stream-processing pipelines (Kafka, Flink) to process telemetry from hundreds of thousands of IoT devices, powering geofencing, alerts, trip construction, and APIs. Collaborate with Embedded/IoT teams, own infrastructure on cloud (AWS/GCP/Azure), reduce technical debt, and mentor teammates.

Research and analyze vehicle network signals, OEM telematics data, wiring diagrams, and field logs to expand vehicle telemetry coverage. Capture and interpret vehicle network data using live debugging, log analysis, scraping, reverse engineering, and custom scripts. Validate solutions on vehicles and at customer locations, document findings, and collaborate with global engineering and product teams to support new telematics capabilities.