NVIDIA

1 week ago

Senior Platform Engineer, Network Infrastructure - DGX Cloud

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 54 minutes agoStatus: Live

Job Summary

Own the lifecycle and automation of a Kubernetes platform that powers network automation, telemetry, and operations across data center, colocation, and cloud environments. Build production-grade software and GitOps delivery for cluster provisioning, validation, upgrades, remediation, and multi-cluster operations. Provide production support and drive complex incident response, while establishing observability and production-readiness standards across teams.

Location: Santa Clara, Illinois, Washington, Massachusetts

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design, build, and operate the Kubernetes platform powering GNI network automation, telemetry, and operations.
•Own lifecycle management for Kubernetes environments, including onboarding, upgrades, capacity, availability, and recovery.
•Develop production-quality software and automation for cluster provisioning, validation, upgrades, remediation, and GitOps multi-cluster delivery.
•Provide production support for network services hosted on the platform, diagnosing cross-platform issues with engineering owners.
•Lead incident response during on-call, establish production-readiness and observability standards, and drive corrective actions to completion.

Pay and Benefits

Salary: USD 168,000 - 333,500 annually

Equity and Bonus:Equity

Key Requirements

•8+ years building or operating production Kubernetes platforms, network infrastructure, or distributed systems.
•Deep Kubernetes expertise 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 with production on-call, incident response, root-cause analysis, and driving corrective actions to completion.

Experience:8+ yearsDistributed systemsKubernetesNetwork infrastructure

Education:Bachelor's in Computer Science, Engineering, or a related field

Skills:Incident responseRoot-cause analysisDriving corrective actionsProblem-solvingAccountability

Tech Stack:KubernetesGoPythonGitOpsInfrastructure as codeCI/CDObservabilityCluster APIMetal3

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 week ago

Senior Platform Engineer, Network Infrastructure - DGX Cloud

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 54 minutes agoStatus: Live

Job Summary

Location: Santa Clara, Illinois, Washington, Massachusetts

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design, build, and operate the Kubernetes platform powering GNI network automation, telemetry, and operations.
•Own lifecycle management for Kubernetes environments, including onboarding, upgrades, capacity, availability, and recovery.
•Develop production-quality software and automation for cluster provisioning, validation, upgrades, remediation, and GitOps multi-cluster delivery.
•Provide production support for network services hosted on the platform, diagnosing cross-platform issues with engineering owners.
•Lead incident response during on-call, establish production-readiness and observability standards, and drive corrective actions to completion.

Pay and Benefits

Salary: USD 168,000 - 333,500 annually

Equity and Bonus:Equity

Key Requirements

•8+ years building or operating production Kubernetes platforms, network infrastructure, or distributed systems.
•Deep Kubernetes expertise 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 with production on-call, incident response, root-cause analysis, and driving corrective actions to completion.

Experience:8+ yearsDistributed systemsKubernetesNetwork infrastructure

Education:Bachelor's in Computer Science, Engineering, or a related field

Skills:Incident responseRoot-cause analysisDriving corrective actionsProblem-solvingAccountability

Tech Stack:KubernetesGoPythonGitOpsInfrastructure as codeCI/CDObservabilityCluster APIMetal3

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor