NVIDIA

1 month ago

Senior Systems Engineer, Storage - DGX Cloud

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Design, deploy, and operate Kubernetes-based storage and data platform solutions at large scale. Build automation to manage storage lifecycles, ensure observability and reliability, and reduce manual toil through IaC and CI/CD. Collaborate across teams to improve service lifecycles from design through deployment, launch, and on-call support in a blame-free, knowledge-sharing environment.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Seniority: Sr. Manager level

Key Responsibilities

•Design, deploy, and operate solutions on Kubernetes for large-scale storage and data platforms, including the manifests, Helm charts, and operators that run them.
•Build tools, services, and automation that improve the lifecycle of storage and data systems – from provisioning and configuration through deployment, scaling, and day-2 operations.
•Develop and operate telemetry and observability for production systems – metrics, logging, tracing, dashboards, and alerting – so that system health, availability, and latency are measurable and actionable.
•Apply strong analytical troubleshooting skills to diagnose and resolve complex issues across distributed, containerized infrastructure.
•Scale systems sustainably through automation, infrastructure-as-code, and CI/CD, and evolve systems by pushing for changes that improve reliability and velocity.

Pay and Benefits

Salary: USD 208,000 - 333,500 annually

Equity and Bonus:Equity

Perks:EquityBenefits

Key Requirements

•BS degree (or equivalent) in Computer Science or related technical field involving coding
•12+ years of practical experience
•Hands-on experience with Kubernetes—deploying, configuring, and operating workloads in production
•Experience building tools and services for storage, data, or platform infrastructure on large-scale Linux systems
•Proficiency in one or more of: Python, Go, or Java

Experience:12+ yearsCloudDistributed systemsStorage

Education:Bachelor's

Skills:LeadershipProblem-solvingCommunication

Languages:English

Tech Stack:KubernetesHelmTerraformAnsibleArgoCDGitPrometheusGrafanaElastic StackPythonGoJavaLinuxDocker

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 month ago

Senior Systems Engineer, Storage - DGX Cloud

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Seniority: Sr. Manager level

Key Responsibilities

•Design, deploy, and operate solutions on Kubernetes for large-scale storage and data platforms, including the manifests, Helm charts, and operators that run them.
•Build tools, services, and automation that improve the lifecycle of storage and data systems – from provisioning and configuration through deployment, scaling, and day-2 operations.
•Develop and operate telemetry and observability for production systems – metrics, logging, tracing, dashboards, and alerting – so that system health, availability, and latency are measurable and actionable.
•Apply strong analytical troubleshooting skills to diagnose and resolve complex issues across distributed, containerized infrastructure.
•Scale systems sustainably through automation, infrastructure-as-code, and CI/CD, and evolve systems by pushing for changes that improve reliability and velocity.

Pay and Benefits

Salary: USD 208,000 - 333,500 annually

Equity and Bonus:Equity

Perks:EquityBenefits

Key Requirements

•BS degree (or equivalent) in Computer Science or related technical field involving coding
•12+ years of practical experience
•Hands-on experience with Kubernetes—deploying, configuring, and operating workloads in production
•Experience building tools and services for storage, data, or platform infrastructure on large-scale Linux systems
•Proficiency in one or more of: Python, Go, or Java

Experience:12+ yearsCloudDistributed systemsStorage

Education:Bachelor's

Skills:LeadershipProblem-solvingCommunication

Languages:English

Tech Stack:KubernetesHelmTerraformAnsibleArgoCDGitPrometheusGrafanaElastic StackPythonGoJavaLinuxDocker

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