Top Infrastructure Engineer Jobs in San Francisco, CA

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.

Lead design, implementation, and support of global production infrastructure to ensure high availability for regulated banking applications. Design, code, test, and document solutions; drive automation, CI/CD, cloud and data-center migrations; troubleshoot monitoring/production issues; manage security, secrets, and key rotation; develop long-term remediation and upgrade plans; collaborate with stakeholders and operate in a 24/7 follow-the-sun support model.

Build and maintain cloud-based development, build, testing, deployment, and production infrastructure. Own platform systems using Terraform, Kubernetes, Vault, AWS, Docker, and CI/CD tools. Collaborate with engineers on a you-build-it-you-run-it platform, troubleshoot incidents, lead postmortems, address root causes, and automate improvements to enhance reliability, performance, and stability.

Leads infrastructure engineering projects involving network architecture, migration, performance testing, troubleshooting, automation, resiliency, and cloud operations. Designs and implements infrastructure changes across platforms, performs pre- and post-migration validation and cutovers, and applies Cisco, Arista, Fortinet, BGP, OSPF, switching, scripting, and AI-assisted workflows. Ensures recommendations and changes meet security, sensitivity, auditability, and resiliency standards while collaborating cross-functionally.

Build and operate low-latency, event-sourced trading infrastructure for Coinbase’s institutional exchange, including matching engines, order management, risk, market data, and funding systems. Own reliability, correctness, incident response, and failover for high-throughput 24/7 production systems. Drive technical designs, collaborate cross-functionally on milestones, and write highly tested performance-critical backend code in Java, C++, or Go.

Own and evolve Vercel’s agentic infrastructure and build/deployment systems at scale. Design high-performance microservices, scalable APIs, resilient database schemas, and reliable workflows processing millions of builds daily. Lead projects from technical direction through production operation, improve performance and developer experience, collaborate cross-functionally, participate in on-call rotation, contribute to open source, and establish standards for scalability and reliability.

Build and scale database infrastructure that enables customers to use Postgres without DBA expertise. Responsibilities include taking a product from alpha to general availability, optimizing queries and data loading, managing schema changes and concurrency, automating database provisioning and fleet operations, improving observability, and shaping architecture through customer collaboration. The role requires hands-on backend engineering, technical leadership, product judgment, and willingness to work across the stack.

Build and operate AWS GovCloud data infrastructure across development, preproduction, and production environments. Establish PostgreSQL platforms, infrastructure-as-code with Chef, BI infrastructure, identity integrations, monitoring, observability, CI/CD, and disaster recovery. Support data pipelines, troubleshoot incidents, optimize databases, and ensure FedRAMP and FISMA compliance. Collaborate with security, compliance, DevOps, and data engineering teams while delivering greenfield infrastructure from architecture through production.

Operate, scale, and optimize distributed storage infrastructure supporting large-scale AI/ML and HPC workloads. Build Python automation, manage Linux bare-metal systems, troubleshoot storage, hardware, networking, and operating system issues, and improve performance, reliability, monitoring, capacity planning, and lifecycle management. Collaborate with infrastructure, networking, platform, and data center teams on storage deployments and scaling strategies.

Build, validate, and operate large-scale bare-metal GPU infrastructure for AI/ML and HPC workloads. Responsibilities include managing Linux systems, image pipelines, test clusters, provisioning, firmware and driver validation, GPU diagnostics, performance analysis with NVIDIA DCGM, automation, virtualization, and hardware management interfaces. The role requires troubleshooting across hardware and software layers while collaborating with infrastructure, hardware, data center, platform, and ML teams.

Design and scale infrastructure powering a global GPU marketplace. Responsibilities include GPU provisioning, workload scheduling, orchestration, provider onboarding, usage tracking, billing, pricing logic, resource management, and marketplace APIs. The engineer will optimize performance, reliability, security, fault tolerance, and multi-tenant cloud systems while collaborating with product and infrastructure teams. The role requires strong Python and C++ development, distributed systems expertise, and experience building large-scale compute platforms.

Supports and maintains AWS infrastructure in a managed services environment. Responsibilities include administering compute, storage, networking, and identity services; monitoring environments; troubleshooting incidents; performing backup, recovery, patching, and infrastructure changes; conducting root cause analysis; optimizing performance and capacity; maintaining documentation; and participating in rotational on-call support.

Build scalable backend infrastructure and core product systems for an AI revenue engine. Connect complex customer data sources and create reliable foundations for autonomous quoting, data enrichment, and revenue workflows in production.

Architect and build backend infrastructure for an AI-driven enterprise email platform. Design scalable distributed systems ingesting millions of messages/day, implement secure, compliance-ready and on-prem-capable systems, and serve as a hands-on senior engineer driving a zero-to-one product build.

Designs, deploys, manages, and secures hybrid cloud and on-premises infrastructure. Responsibilities include systems administration, automation, networking, resiliency, monitoring, infrastructure as code, configuration management, cloud cost control, incident resolution, documentation, change management, and on-call support. The engineer collaborates with architecture, security, GRC, engineering, and business teams to deliver scalable technology solutions.

Own and operate VSCO’s AWS and EKS platform, building Terraform modules, GitOps workflows, CI/CD pipelines, observability, autoscaling, networking, data-store services, and Cloudflare or CloudFront infrastructure. Lead production cutovers, participate in on-call, troubleshoot Linux, Kubernetes, and network issues, and create durable fixes. Partner with product and data teams, review infrastructure designs, and guide teams toward reliable shared platform solutions.

Own and evolve Collective’s multi-cloud infrastructure across AWS and GCP using Terraform. Lead CI/CD, observability, identity, security, disaster recovery, automation, incident response, and platform reliability. Partner with product engineering and AI Platform teams to deliver scalable infrastructure, reduce operational toil, improve system performance, and mentor engineers. Participate in on-call rotations and drive post-incident improvements.

Designs, monitors, and sustains network and infrastructure systems at scale. Uses AI-assisted tools for monitoring and capacity analysis, identifies and remediates capacity risks, partners with teams on resiliency and security, and drives automation and validation across multi-cloud and on-prem systems.

Lead and architect infrastructure engineering programs across networking and cloud domains, drive AI-assisted automation, validate mitigations, modernize systems, mentor junior engineers, and ensure compliance, resiliency, and security.

Lead infrastructure engineering workstreams to design, operate, and modernize network and cloud infrastructure. Troubleshoot moderate-complexity problems, drive architecture and automation, partner with risk/compliance, mentor engineers, and apply AI-assisted tooling while ensuring security, resiliency, and auditability.

Lead cloud networking architecture across AWS/Azure/GCP, define reusable network standards, manage technical risk and remediation, drive compliance and incident response, establish policy-as-code guardrails, mentor engineers, and coordinate cross-functional solution designs emphasizing security, resilience, and performance.

Lead design, operation, and continuous improvement of enterprise DNS and IPv6 capabilities. Architect DNS and IPv6 addressing, implement reverse DNS delegation, execute transition strategies (Dual-Stack, NAT64, DNS64), troubleshoot resolution and routing issues (dig, nslookup, BGP, OSPFv3), automate operational tasks, document runbooks, and apply enterprise-authorized AI with validation and auditability in controlled change environments.

Lead design, build, and standardize a next-generation SD‑WAN ecosystem. Capture and translate requirements, produce HLD/LLD artifacts, drive test strategy, apply security methodologies, and collaborate with product, architecture, and engineering teams to deliver reliable, monitored, and automated network services.

Lead technical direction for a central infrastructure team supporting all product engineering. Design and maintain AWS infrastructure, Terraform modules, CI/CD workflows, observability, security, networking, cost-visibility tooling, and operational platforms. Coordinate multiple initiatives, improve reliability and incident response, establish paved roads adopted by feature teams, guide infrastructure strategy, and coach engineers across the organization.

Build and operate AWS infrastructure using Terraform and Kubernetes, develop reusable infrastructure modules, create reliable CI/CD workflows, and improve autoscaling, observability, incident response, and deployment safety. The role partners with application and AI engineers to support latency-sensitive voice services, manage costs, and enable secure provisioning and debugging. Nice-to-have experience includes GitOps, real-time audio systems, databases, GPU workloads, AI inference, and SOC 2 support.