NVIDIA

Technology

DevOpsEngineer

$325–455k ~AI est. Yokneam, Israel FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“DevOps Engineer at NVIDIA. Skills: Kubernetes, CI/CD, Cloud infrastructure, On-prem systems. Design Kubernetes infrastructure. Build Kubernetes infrastructure”

Industry & Context.

Technology
Problems you'll solve

Troubleshooting

What They're Looking For.

Must Have

Bachelor's degree in Computer Science, 3+ years in DevOps role, 3+ years in SRE role, 3+ years in infrastructure engineering role, Hands-on proficiency with Kubernetes, Hands-on proficiency with container tooling, Production environments experience, Track record building CI/CD pipelines, Track record maintaining CI/CD pipelines, Runner management experience, Pipeline-as-code experience, Fluency using AI-assisted development tools, Solid Linux administration skills, Fluency in Bash, Practical background with major cloud platform, Working knowledge of GitOps workflows, Collaboration mentality, Ownership mentality, Accountability to operate business-critical systems

Nice to Have

Azure preferred, AWS preferred, GCP preferred, On-prem Kubernetes at scale experience, Cluster bootstrap experience, MetalLB configuration experience, Ingress configuration experience, Secret management via HashiCorp Vault experience, Secret management via Azure Key Vault experience, Secret management via Sealed Secrets experience, SQL operational background, MongoDB operational background, Backups experience, Replication experience, Performance tuning experience, Observability improvements with Datadog experience

What You'll Do.

Design Kubernetes infrastructure

Build Kubernetes infrastructure

Operate Kubernetes infrastructure

Manage autoscaling with Keda

Manage GPU-enabled workloads

Extend CI/CD pipelines

Harden CI/CD pipelines

Manage GitLab runners

Evolve GitOps-based deployments

Maintain on-prem infrastructure

Improve on-prem infrastructure

Manage container platforms

Improve observability

Shorten time-to-recovery

Contribute to cluster rollouts

Contribute to AKS upgrades

Contribute to node pool reorganization

Contribute to GPU cluster enablement

Contribute to secret management

Automate provisioning

Automate configuration

Troubleshoot full stack issues

Turn incidents into improvements

How You'll Work.

Team & Collaboration

Partner with development teams; Partner with data teams; Partner with architecture teams

Process & Methodology

GitOps workflows

Full Job Description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA's Manufacturing Information Systems team builds the data and automation backbone that keeps global manufacturing operations running — from CI/CD and container platforms to the on-prem environments that production workflows depend on. Our DevOps team leads that infrastructure end-to-end: Azure cloud, Kubernetes at scale, delivery coordinated via GitLab, and multiple business-critical on-prem sites . With major initiatives on the roadmap — GPU-enabled Kubernetes, per-site cluster rollouts, AKS upgrades, and a broader Vault rollout — the work ahead offers a rare mix of greenfield infrastructure and hands-on stewardship of systems NVIDIA relies on daily. The team is small, senior, and deeply accountable, with a strong mentorship culture under an experienced tech lead. We are adding a third DevOps engineer to increase delivery capacity, reduce single-person risk on critical systems, and grow our database infrastructure capability from within. If building resilient cloud and on-prem systems at scale sounds like the right challenge, we'd like to hear from you. **What you 'll be doing:** * Design, build, and operate Kubernetes infrastructure across Azure AKS and on-prem clusters, including ingress, autoscaling with Keda, TLS management, and GPU-enabled workloads * Extend and harden CI

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