Skip to content
OpenAIOpenAI

Network Engineer

The Network Engineer will design, operate, troubleshoot, and automate secure enterprise and cloud networks across offices, labs, and production services. The role combines network architecture and lifecycle planning with incident response, operational delivery, and automation using APIs, Infrastructure as Code, Git, testing, and CI/CD.

About the job

Responsibilities

  • Design, operate, troubleshoot, and automate secure, reliable networks across offices, labs, cloud connectivity, and production services.
  • Own secure enterprise routing, switching, wireless, WAN, network services, and cloud connectivity end to end.
  • Balance strategic platform improvement with responsive troubleshooting, change safety, incident response, escalations, break/fix, and time-sensitive operational delivery.
  • Improve network systems through software, APIs, Infrastructure as Code, Git workflows, testing, and CI/CD to reduce recurring reactive work.
  • Develop architecture, standards, roadmaps, lifecycle plans, and automation.

Requirements and Qualifications

  • Broad network engineering experience spanning enterprise routing, switching, wireless, WAN, network services, and cloud connectivity.
  • Experience with network troubleshooting, incident response, change management, and operational delivery.
  • Experience using software, APIs, Infrastructure as Code, Git workflows, testing, and CI/CD for network automation.

Compensation and Benefits

  • Competitive salary, generous equity, and benefits.
  • Private medical insurance covering 100% of premiums for employees and dependents.
  • Pension plan with a 4% employer contribution.
  • 52 weeks of maternity leave and 24 weeks of parental leave.
  • Unlimited time off.
  • Annual learning and development stipend of $1,500 USD equivalent per year.
  • Hybrid work model with 3 days in the office per week.
  • Relocation assistance available.

Skills

Routing, Switching, Wireless Networking, Wan, Cloud Connectivity, Network Security, Network Automation, APIs, Infrastructure As Code, Git, CI/CD, Incident Response

Cloudflare

Cloudflare

London, United Kingdom

Software Engineer: Resiliency - Deploy at Scale
No salary listedHybrid4+ YOEDevOps / SRE

Build and maintain Cloudflare’s deployment platform, enabling progressive rollouts, health-mediated releases, and automated workflows at scale. The role requires at least four years of software development experience, backend and frontend experience, and comfort with rapid delivery and on-call support.

Granica

Granica

Remote

Software Engineer, Infrastructure
No salary listedRemote5+ YOEDevOps / SRE

Build and operate cloud infrastructure, Kubernetes platforms, CI/CD systems, and observability for exabyte-scale data systems and reliable enterprise AI workloads. The role requires 5+ years of infrastructure, platform, or distributed systems experience and strong programming and cloud skills.

GitLab

GitLab

United Kingdom

Site Reliability Engineer, Infrastructure Platforms
No salary listedRemote5+ YOEDevOps / SRE

Site Reliability Engineers build and operate reliable, scalable production infrastructure across GitLab’s Infrastructure Platforms teams. The role requires strong software engineering and operations fundamentals, Kubernetes and infrastructure-as-code experience, cloud expertise, and comfort with automation, observability, and incident response.

Perplexity

Perplexity

San Francisco, CA
Member of Technical Staff
$220k+/yrRemote4+ YOEDevOps / SRE

Build and operate distributed infrastructure across compute, storage, networking, data, deployment, and reliability domains. The role requires 4+ years of backend or platform engineering experience, strong systems-language skills, and the ability to own complex production systems and lead cross-team technical initiatives.

Writer

Writer

London, United Kingdom

Infrastructure Engineer
No salary listedHybrid5+ YOEDevOps / SRE

Infrastructure engineer responsible for building and operating highly available cloud systems, automating operations, and improving reliability across a large-scale AI platform. Requires 5+ years of infrastructure or DevOps experience, production Kubernetes, cloud infrastructure, Terraform, and Python or Go.