Engineering Manager, Kubernetes Customer Delivery and Self-Service

NVIDIA
California, Texas, Washington
Workplace: RemoteFull timeUSD 224,000 - 356,500 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 8+ yearsEducation: bachelorsSkills: ["Cross-functional leadership","Communication","Customer empathy","Prioritization","Judgment"]

Lead a team building customer delivery and self-service for production Kubernetes clusters supporting AI workloads. Own end-to-end cluster enablement, validation, and handoff, while driving coordinated delivery plans across platform, runtime, release, fleet operations, security, and infrastructure teams. Build integrations for provisioning and acceptance, automate delivery workflows with APIs and AI-enabled tools, and define service interfaces to improve speed, readiness, recovery, and customer visibility.

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FursaFursa
NVIDIA
NVIDIA
6 hours ago

Engineering Manager, Kubernetes Customer Delivery and Self-Service

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Lead a team building customer delivery and self-service for production Kubernetes clusters supporting AI workloads. Own end-to-end cluster enablement, validation, and handoff, while driving coordinated delivery plans across platform, runtime, release, fleet operations, security, and infrastructure teams. Build integrations for provisioning and acceptance, automate delivery workflows with APIs and AI-enabled tools, and define service interfaces to improve speed, readiness, recovery, and customer visibility.
Location: California, Texas, Washington
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Manager level

Key Responsibilities

  • •Build and lead a team delivering Kubernetes customer delivery, onboarding, and self-service.
  • •Own end-to-end delivery of production Kubernetes clusters for AI workloads from accepted request through enablement, qualification, validation, and customer handoff.
  • •Coordinate delivery plans with owners, dependencies, readiness gates, timelines, risks, status, and blocking issues.
  • •Partner across platform, runtime, release, fleet operations, CSE, product, TPM, security, and infrastructure teams to integrate systems and deliver reliably.
  • •Automate recurring delivery tasks into self-service workflows using APIs, AI tools/agents; define service interfaces and metrics for delivery speed, readiness, automation, recovery, and customer visibility.

Pay and Benefits

Salary: USD 224,000 - 356,500 annually
Equity and Bonus:Equity

Key Requirements

  • •8+ years of industry experience, including 2+ years leading or managing engineers.
  • •Experience building platform APIs, self-service infrastructure, workflow automation, developer platforms, or customer onboarding systems.
  • •Strong understanding of Kubernetes, cloud infrastructure, distributed systems, and production engineering.
  • •Hands-on experience using AI coding tools and AI-enabled engineering workflows.
  • •BS or MS in Computer Science, Engineering, or equivalent experience.
Experience:8+ yearsKubernetesAI workloadsPlatform engineeringInfrastructure-as-codeDeveloper platforms
Education:Bachelor's in Computer Science, Engineering
Skills:Cross-functional leadershipCommunicationCustomer empathyPrioritizationJudgment
Tech Stack:KubernetesCloud infrastructureDistributed systemsProduction engineeringAPIsInfrastructure-as-codeWorkflow automationTerraformGitOpsIdentity and access managementRBACWorkflow enginesAI coding toolsAI-enabled engineering workflowsAgentsGPU infrastructureGPU schedulingAccelerated networkingHigh-performance storage

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
Glassdoor: 4.3
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