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

Own reliability of distributed systems across cloud (Kubernetes), edge, and on-site deployments. Build observability, monitoring, alerting, and incident response processes. Improve deployment workflows, diagnose infra/networking/distributed issues, and partner with engineering to prevent recurrence and scale repeatable deployments in imperfect real-world environments.

Own reliability across cloud, edge, and on-site deployments. Build observability, monitoring, and alerting. Define incident response and on-call processes, improve deployment workflows, diagnose infra/network/distributed-system issues, and make deployments repeatable and scalable.

Owner of the product layer delivering end-to-end frontend (Next.js/TypeScript) and API (FastAPI/Python or Node) workflows. Build customer-facing UIs and internal deployment tools, define API contracts, improve performance and reliability, implement testing/CI, and collaborate with product, backend, and SRE to scale deployments across facilities.

Design, build, and operate large-scale ML infrastructure and GPU compute clusters for computer vision and multi-modal models. Own end-to-end pipelines from data ingestion and training to low-latency cloud deployment, orchestration, monitoring, and model performance evaluation. Collaborate with research and product teams to productionize models across warehouse environments.

Own the post-deployment customer lifecycle to drive onboarding, adoption, retention, and expansion. Partner with deployment engineers and product to define KPIs, embed the product in operations, surface customer feedback, mitigate risks, and build repeatable success playbooks. Work directly with warehouse operators and leadership to ensure measurable operational impact.