Top Engineering Jobs in San Francisco, CA

Design, operate, and improve highly scalable hybrid multi-cloud Kubernetes platforms supporting business-critical systems. Responsibilities include optimizing reliability, managing large-scale infrastructure, integrating open-source technologies, guiding Kubernetes platform evolution, and mentoring engineers. The role requires expertise with Kubernetes clusters containing thousands of nodes, observability tools, Golang, Linux, AWS, GCP, OCI, custom data centers, and on-call operations. Candidates must be eligible for CJIS clearance and periodically complete government-required background and fingerprint checks.

Design, build, operate, and scale cloud-native systems supporting Falcon Complete cybersecurity analysts. Responsibilities include developing web services and data pipelines, improving monitoring and reliability, automating operational tasks, collaborating with stakeholders, translating feature requests into requirements, and participating in 24/7 on-call rotations. The role involves distributed systems, microservices, databases, messaging platforms, container orchestration, and AI-enabled workflow improvements in a remote, asynchronous environment.

Operate and maintain large Kubernetes clusters across data centers and public clouds. Troubleshoot infrastructure, networking, storage, DNS, and control-plane issues; participate in on-call incident response; perform upgrades and capacity changes; build monitoring dashboards and alerts; automate repetitive work with Go or Python; maintain documentation and use AI tools to improve engineering workflows.

Develop and operate CrowdStrike’s internal cloud management platform and mission-critical CI/CD pipelines. Build APIs and UIs using Go and TypeScript, improve developer productivity, integrate tooling, maintain cloud-native infrastructure, and support secure, highly available software delivery systems. Collaborate with development, infrastructure, security, and SRE teams, ensure SOC2-aware processes, and participate in on-call operations.

Build and maintain CrowdStrike’s golden-image platform and automated pipelines across Linux, macOS, and Windows. Develop Python automation for image builds, validation, drift detection, and testing; manage infrastructure as code with Ansible, Packer, and Terraform; integrate Jenkins, GitLab CI, and Artifactory; and support image lifecycle operations. The role includes troubleshooting production issues, security hardening, compliance collaboration, documentation, cross-team partnership, and participation in on-call rotations.

Own the architecture, roadmap, capacity planning, automation, telemetry, and long-term operations of CrowdStrike’s global IP and optical backbone. Lead hardware and software platform selection, vendor engagement, cloud and neocloud connectivity, network automation, infrastructure-as-code, and AI-enabled network operations. Serve as a senior incident escalation resource, influence executive stakeholders, establish engineering standards, and mentor senior engineers. The role requires extensive global backbone, optical transport, cloud networking, FedRAMP, and AI experience.

Develop and support software, automation tools, dashboards, and alarms for cloud infrastructure, cost attribution, and cloud efficiency. Collaborate with cross-functional teams and senior engineers to design reliable systems, APIs, databases, tests, and AI agents. Contribute to architecture and automation strategies while maintaining strong security, communication, and delivery practices.

Lead and mentor a remote team of 3–6 engineers building and operating CrowdStrike’s internal cloud management platform. Provide technical guidance, code review oversight, architectural input, roadmap execution, hiring support, and professional development. The role involves developing Go and TypeScript APIs and UIs, maintaining highly available cloud infrastructure, collaborating with leadership, and delivering reliable software at scale.

Designs and maintains large-scale production infrastructure across Linux, Windows, VMware, OpenStack, Docker, and Kubernetes environments. The role administers bare-metal servers and virtual machines, develops automation using Python, Go, and PowerShell, troubleshoots hardware and virtualization issues, and supports incident response through an on-call rotation. Responsibilities also include technical architecture, networking, configuration management, documentation, post-mortems, and applying AI tools to improve operational workflows.

Lead the design, operation, and modernization of large-scale infrastructure environments, including QEMU/KVM virtualization, private cloud, distributed storage, and infrastructure as code. Drive VMware-to-KVM migration, storage platform migration, monitoring, resilience, incident root-cause analysis, and automation. Mentor junior engineers, support CI/CD infrastructure, participate in on-call rotations, and provide technical leadership across distributed teams.