NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Platform Engineer, Network Infrastructure
Location
California + 2 moreAll locations: California | Illinois | Washington
Posted
3 days ago
Salary
$176K - $276K / year
Seniority
Senior
Job Description
Senior Platform Engineer, Network Infrastructure
NVIDIA
• Design, build, and operate the Kubernetes platform that powers GNI network automation, telemetry, and operations across data center, colocation, and cloud environments. • Own the lifecycle management for GNI Kubernetes environments, including cluster onboarding, upgrades, capacity, availability, and recovery. • Develop production-quality software and automation for cluster provisioning, validation, upgrades, remediation, and safe multi-cluster delivery through GitOps. • Provide production support for network services hosted on the platform, working with Network Automation and service teams that retain ownership of application architecture, code, and features. • Diagnose complex Kubernetes platform and hosted-service failures involving control-plane health, cluster networking, storage, scheduling, workload placement, and multi-cluster dependencies. • Drive issues from initial signal through verified resolution. • Define production-readiness and observability standards for the platform and hosted network services, including health signals, capacity, alerts, runbooks, and recovery. • Participate in CFR’s production on-call rotation, including scheduled after-hours and weekend coverage. • Lead incident response and recovery, then drive corrective actions to completion.
Job Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 8+ years of experience building or operating production Kubernetes platforms, network infrastructure, or distributed systems.
- Deep experience with Kubernetes at scale, including cluster lifecycle, upgrades, networking, storage, and recovery.
- Proficiency in at least one general-purpose programming language, such as Go or Python.
- Experience with GitOps, infrastructure as code, CI/CD, and automated production delivery.
- Experience deploying and supporting network automation or telemetry services on Kubernetes.
- Experience with production on-call, incident response, root-cause analysis, and driving corrective actions to completion.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
- Stock options
- Equity
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