Top Engineering Jobs in San Francisco, CA

The Senior Software Engineer will design and build secure sandboxed runtime environments for Kubernetes, focusing on GPU workloads and ensuring performance and security in multi-tenant configurations.

The Staff Software Engineer will design and implement the backend architecture for Marimo's molab, focusing on high availability, low latency, and system stability, while utilizing CoreWeave's infrastructure.

Lead and grow engineering teams owning compute infrastructure for internal and external AI customers. Define roadmap, ensure availability and performance, design secure scalable systems, partner with Product and customer-facing teams, and improve operational practices for compute, containers, virtualization, and bare-metal GPU deployments.

Take end-to-end ownership of a Kubernetes-based, multi-region data platform: architect for high availability and low latency, scale infrastructure, optimize CI/CD, implement observability and IaC, enforce cloud-native security, lead incident response, and ensure production readiness and capacity planning.

As a Senior Cloud Support Engineer, you'll provide high-level support for GPU workloads, mentor team members, resolve complex technical issues, and enhance customer satisfaction through technical expertise and problem-solving.

As a Staff Systems Engineer, you will oversee IT and SaaS platforms, enhance system reliability, automate processes, and manage SaaS sprawl.

Design and implement security controls for identity, access management, and endpoint security. Lead initiatives around zero trust and phishing-resistant MFA.

Lead end-to-end white space design for global data centers: develop and maintain the White Space Basis of Design, perform technical reviews of power and cooling layouts, manage internal and external design resources, and coordinate with Construction, Operations, Network Engineering, and Commissioning to ensure scalable, constructable, and operational designs for high-density compute environments.

Lead administration and optimization of Ironclad CLM and other legal systems; design contract workflows, build integrations with CRM/ERP/procurement/billing/identity systems, develop reports and analytics, manage security and data governance, support migrations and enhancements, troubleshoot issues, and create documentation and training for legal and business stakeholders.

Design, build, and operate large-scale data ingestion, storage, and query systems for AI/ML experiment tracking. Architect and optimize distributed backend services (petabyte-scale), implement customer-facing APIs, run services on Kubernetes/cloud, diagnose production issues, lead architectural initiatives, and mentor junior engineers.