Top Infrastructure Engineer Jobs in San Francisco, CA

Own the design and implementation of Azure platform infrastructure for secure, repeatable enterprise AI deployments. Build IaC modules, identity and security controls, networking, CI/CD automation, observability, reliability tooling, and customer environment automation. Partner with product engineers and enterprise teams to standardize deployments across complex Azure environments, including decisions involving containers, scaling, resilience, isolation, and cost.

Maintains secure, reliable, and highly available servers, networks, operating systems, middleware, and multi-cloud infrastructure. Responsibilities include installation, upgrades, monitoring, troubleshooting, automation, security patching, disaster recovery, job scheduling, vendor coordination, documentation, and 24x7 on-call support. The role also supports development, test, and production environments, leads infrastructure projects, mentors technical staff, and recommends improvements to infrastructure performance, security, and lifecycle management.

Implements and supports enterprise AI infrastructure platforms across client environments. Configures Kubernetes, workload schedulers, GPU resource governance, containers, observability, security, and related platform services. Performs discovery, deployment, integration, upgrades, troubleshooting, validation, documentation, and knowledge transfer. Collaborates with cross-functional technical teams, contributes to implementation plans and Statements of Work, manages project deliverables, and provides client-facing consulting support. Travel and occasional extended or weekend work may be required.

Build and operate production GPU compute infrastructure across owned hardware, neocloud providers, bare metal, VMs, and containers. Own fleet strategy, provisioning, recovery, host hardening, workload isolation, provider integrations, hardware deployment, and cross-layer failure debugging. Translate heterogeneous GPU capacity into reliable, secure, operable infrastructure while balancing architecture, implementation, and production operations.

Build and operate AI infrastructure systems, including telemetry pipelines, observability dashboards, incident-management automation, hardware and software catalogs, service ownership data models, and self-service discovery tools. Lead cross-functional infrastructure initiatives and develop AI-assisted operational tooling. The role requires production software and infrastructure expertise, programming experience, and the ability to improve reliability, visibility, incident response, and operational efficiency across NVIDIA GPU cloud environments.

Supports hybrid cloud and on-premises infrastructure across corporate, engineering, manufacturing, laboratory, and datacenter environments. Responsibilities include networking, compute, servers, endpoints, identity, cloud services, Infrastructure as Code, automation, troubleshooting, monitoring, documentation, incident response, migrations, and infrastructure projects. The role collaborates with security, engineering, manufacturing, facilities, vendors, and business teams while improving infrastructure reliability, scalability, and operational efficiency.

Lead and build a new infrastructure group responsible for physical server deployments, colocation and hardware vendors, operating systems, secure access, Kubernetes clusters, production support, monitoring, incident response, and internal infrastructure tooling. The role requires hands-on ownership of accelerated-compute hardware and large-scale systems, with opportunities to mentor and grow the team.

Own Harvey’s shared cloud-first IT infrastructure, infrastructure-as-code frameworks, automation, provisioning, monitoring, backups, resilience, certificates, DNS, and office technology standards. Build CI pipelines and configuration management for platforms such as Okta, Jamf, Intune, and Google Workspace. Improve change control, documentation, alerting, recovery runbooks, and identity lifecycle workflows while partnering with Security, Networking, and platform owners.

Owns networking and physical infrastructure across Berkeley labs and the Fremont fabrication facility, including servers, switches, firewalls, cabling, routing, and secured environments. Supports AWS, infrastructure as code, virtualization, Kubernetes, Docker, CI/CD, and hybrid cloud infrastructure. Responsibilities include infrastructure design and buildouts, troubleshooting, upgrades, documentation, maintenance windows, on-call support, and cleanroom operations. The role requires extensive hands-on networking experience, physical equipment support, and the ability to work across on-premises and cloud environments.

Own the networking and distributed systems layer of a software platform. Build low-latency proxies, gateways, request paths, data pipelines, and storage systems for high-volume traffic. Lead customer deployments across cloud, private network, and on-premises environments while owning a product area end to end. The role is approximately 80% hands-on engineering and 20% customer-facing work.

Own and improve multi-cloud production infrastructure across GCP, AWS, and Azure. Build developer platforms, CI/CD pipelines, deployment automation, Terraform modules, and production Kubernetes environments. Lead incident response, root-cause remediation, observability, networking, security, cost optimization, and reliability initiatives. The role requires hands-on automation and programming, collaboration with security and application teams, mentoring, global on-call participation, and regular overlap with U.S. Pacific Time.

Build and maintain infrastructure tooling for thousands of servers and distributed services. Responsibilities include host provisioning, configuration management, rapid code deployment, service monitoring, automated testing, linting, and infrastructure supporting high-volume real-time data pipelines. The role involves end-to-end project ownership, frequent code delivery, debugging complex distributed systems, and collaboration within a high-performing engineering team.

Operates and improves secure, highly available servers, networks, middleware, and multi-cloud infrastructure. Responsibilities include installation, configuration, upgrades, monitoring, troubleshooting, security, automation, vendor coordination, disaster recovery planning, technical documentation, and 24x7 on-call support. The role also leads moderately complex infrastructure projects, mentors junior staff, supports development and production environments, and recommends technology and lifecycle improvements.

Build and operate secure, production-grade infrastructure across Kubernetes, commercial and government clouds, edge appliances, classified networks, and air-gapped environments. Responsibilities include platform architecture, infrastructure coding, artifact pipelines, monitoring, incident response, security hardening, CVE remediation, STIG implementation, audit readiness, and DevSecOps improvement. Collaborate with Product, Engineering, GRC, and mission teams to support reliable deployments in IL5, IL6, and JWICS environments.

Designs, implements, validates, benchmarks, troubleshoots, and supports accelerated compute and high-performance storage infrastructure for enterprise AI workloads. Conducts discovery, migrations, installations, configuration, testing, documentation, and client knowledge transfer. Collaborates with project managers, architects, sales teams, partners, and stakeholders to manage scope, timelines, risks, and deliverables. The role requires client-facing consulting, technical documentation, infrastructure troubleshooting, occasional overtime, and travel to client sites or company locations.

Lead the design, implementation, and evolution of secure, scalable multi-cloud infrastructure across AWS and Azure. Own infrastructure as code, CI/CD, containerization, observability, automation, reliability, incident response, and security practices. Partner with engineering leadership to shape architecture, operational standards, and technical strategy while improving developer workflows and system resilience.

Design and build Genius AI’s software factory, including CI platforms, deployment tooling, infrastructure-as-code guardrails, observability, alerting, SLOs, and incident-response systems. Lead infrastructure platform direction, enable safe self-service for engineers and AI agents, improve deployment velocity and reliability, review complex technical changes, and mentor engineers. The role requires hands-on expertise with AWS, Kubernetes, Terraform, GitOps, CI/CD at scale, progressive delivery, and internal developer tooling.

Lead design, deployment, and operation of Caldera's blockchain infrastructure. Build and expand DevOps pipelines, manage Kubernetes/AWS deployments, implement IaC (Terraform/Helm), enhance observability, optimize performance, and maintain infrastructure security for production rollup chains.

Lead infrastructure engineer designing and deploying infrastructure tools and playbooks, supporting NonStop systems and messaging middleware, automating processes, troubleshooting production issues, coordinating releases, mentoring engineers, and ensuring compliance with enterprise architecture and security standards.

Design and maintain cloud infrastructure on GCP, manage Kubernetes, improve CI/CD pipelines, ensure reliability and security, and support rapid development cycles.

Own and improve Hex’s cloud infrastructure, CI/CD, observability, databases, security, cost management, and single-tenant deployment systems. The role involves selecting and delivering infrastructure projects, operating Kubernetes and AWS environments, scaling PostgreSQL, implementing infrastructure as code, and building customer-facing platform capabilities. Engineers are expected to handle on-call responsibilities, write application code when needed, and independently turn ambiguous infrastructure problems into shippable solutions.

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.

Own and expand an internal platform supporting large-scale data production. Improve reliability, scalability, and capacity while handling distributed systems and infrastructure challenges. Partner closely with research and data teams, debug complex JVM issues, and develop efficient concurrent and asynchronous code. The role requires taking a platform from early development through growth as its primary engineer in an intense, on-site environment.

Own and develop HPC/GPU infrastructure for R&D and customer deployments. Design cross-platform CI/CD pipelines, manage on-premise and cloud Kubernetes clusters with GPU passthrough and MIG, configure self-hosted GitHub Actions runners, and maintain DockerHub registries. Assemble and tune physical GPU servers, manage PCIe topology and hardware constraints, and maintain compatibility across NVIDIA drivers, CUDA, and ROCm versions. Provide customer-facing technical assistance for GPU container deployments.

Owns build, test, release, developer productivity, and agent-enabled engineering infrastructure across multi-cloud customer environments. Responsibilities include creating reproducible build systems, release pipelines, software supply-chain security controls, coding-agent workflows, developer self-service tools, observability, alerting, and engineering productivity metrics. Requires strong Python, Linux, container, Kubernetes, GitOps, infrastructure-as-code, cloud, and security expertise, plus leadership of complex projects and migrations.