We are seeking a highly skilled and experienced Staff Network Site Reliability Engineer (SRE) to join our Enterprise Network Operations and SRE team. In this role, you will be pivotal in implementing our vision for a reliable and efficient network infrastructure. The ideal candidate is passionate about network operations and committed to enhancing the user experience. You'll have the opportunity to solve complex network challenges using hands-on debugging and by focusing on network automation, observability, documentation, and operational excellence. This is a critical position focused on ensuring user satisfaction and brilliance in network operations. What you'll be doing: Owning the operational aspect of the network infrastructure, ensuring its high availability and reliability, actively working on network incidents and service requests. Partnering with architecture and deployment teams to guarantee that new implementations are supportable and align with production standards. Advocating for and implementing automation to reduce toil and improve operational efficiency. Minimizing manual operational tasks to achieve and maintain Service Level Objectives (SLOs). Monitoring network performance, identifying areas for improvement, and collaborating with relevant teams to implement refinements. Proactively identifying and mitigating network risks to promote continuous improvement. Collaborating with domain experts across functions to resolve production issues swiftly and effectively, ensuring customer happiness. Conducting blameless postmortems and following through on Root Cause Analyses (RCAs). Discovering opportunities for operational improvements and teaming up with colleagues to devise solutions that enhance excellence and sustainability in network operations. Developing knowledge base articles for automa
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Role overview
Job description
NVIDIA is seeking a Senior Staff SRE to build and operate reliable, scalable compute platforms that support global engineering workloads. This role spans Kubernetes, KubeVirt, bare-metal infrastructure, automation, observability, and AI-enabled operations.
Join a team that solves complex infrastructure challenges, builds durable automation, and improves the reliability and operational experience of critical compute services.
What you’ll be doing:
Build, operate, and improve large-scale Kubernetes, KubeVirt, Linux, container, and bare-metal compute platforms, with a focus on performance, capacity, reliability, and operational scale.
Lead bare-metal provisioning and lifecycle management in data centers, including PXE boot, DHCP, DNS, OS provisioning, hardware validation, and fleet automation.
Develop automation, self-service capabilities, and observability solutions using APIs, Python or Go, Infrastructure as Code, configuration management, metrics, logs, traces, and service-health data.
Define and operate SLOs, SLIs, error budgets, alerting, and incident-response practices; lead complex incident investigations, corrective actions, and blameless postmortems.
Partner with infrastructure, security, hardware, data-center, and application teams to deliver global platform initiatives, and participate in an on-call rotation.
What we need to see:
BS in Computer Science, Engineering, a related technical field, or equivalent experience, plus 10+ years operating production infrastructure or platform services.
Strong expertise in Kubernetes administration, KubeVirt, Docker, containerization, microservices, Linux systems, and resolving distributed-system challenges.
Experience deploying and operating bare-metal infrastructure in a data-center environment, including provisioning, networking, operating-system lifecycle management, and hardware automation.
Proficiency in Python, Go, or a comparable programming language, with experience building RESTful services and integrating infrastructure APIs.
Experience with Infrastructure as Code and automation tools such as Terraform, Ansible, Chef, or Puppet, along with a solid understanding of TCP/IP networking and infrastructure security.
Strong SRE and observability experience, including SLIs, SLOs, error budgets, incident management, monitoring, logging, tracing, and tools such as OpenTelemetry, Prometheus, Grafana, ELK Stack, or Splunk.
Clear written and interpersonal communication skills, with a record of delivering practical, scalable solutions to complex technical problems.
Ways to stand out from the crowd:
Experience operating HPC, AI, GPU-accelerated, or general-purpose bare-metal compute infrastructure, including GPU-enabled Kubernetes or KubeVirt clusters.
Expertise with VMware vSphere, Red Hat OpenShift, KVM, Firecracker, OpenStack, or Nutanix AHV.
Experience applying generative AI or agentic workflows to improve infrastructure diagnostics, reduce operational toil, and accelerate incident resolution.
Experience building secure, integrated operational platforms using APIs, RBAC, service accounts, secrets management, audit controls, workflow orchestration, and infrastructure or incident-management systems.
Demonstrated delivery of complex, high-impact infrastructure projects.
What they are looking for
Skills & requirements
Hiring company
Nvidia
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