Senior Platform Engineer, Network Infrastructure

NVIDIA

Senior Platform Engineer designing, building, and supporting Kubernetes platform for GNI network automation across data centers and cloud environments. Collaborating with teams to ensure production readiness and operational excellence.

Posted 7/16/2026full-timeRemote • California, Illinois, Washington • 🇺🇸 United StatesSenior💰 $176,000 - $276,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, building, and operating Kubernetes platforms, with a strong focus on lifecycle management, production support, and incident response. Proficient in automation, GitOps, and network services deployment within cloud and data center environments.

Highest-signal resume keywords

Kubernetes Platform ManagementProduction Support for Network ServicesGitOps and Infrastructure as CodeIncident Response and Root-Cause AnalysisProgramming in Go or Python

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesCluster Lifecycle ManagementNetwork InfrastructureProduction Software DevelopmentAutomationCI/CDIncident ResponseRoot-Cause AnalysisCapacity ManagementObservability Standards

Soft Skills

Problem-SolvingCollaborationCommunication

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Engineering

Industry Keywords

Network AutomationTelemetry ServicesDistributed SystemsCloud EnvironmentsData Center Operations

Tech Stack

Tools & technologies

CloudDistributed SystemsGoKubernetesPython

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development
Stock options
Equity