Senior Kubernetes SRE: Scale Large-Scale EDA Clusters

NVIDIA Corporation; Santa Clara (CA); Presencial; USD 190.000 - 320.000; Tempo integral

Benefícios oferecidos por esta vaga

Equity

Benefits

Resumo da vaga

NVIDIA is seeking a Senior SRE to own and scale the Kubernetes platform supporting its edge of EDA workloads in Santa Clara. You will manage end-to-end clusters across on-prem data centers and public clouds, implement a unified platform with consistent APIs, and drive automation through IaC and GitOps.

The role emphasizes designing for failure, observability, and proactive incident response, collaborating with storage, network, and EDA teams to meet architectural needs and ensure reliable,

Qualificações

• Bachelor's degree or equivalent with 8+ years producing critical production services.
• Hands-on Kubernetes operations experience in production environments.
• Experience with CSP-managed Kubernetes and on-prem deployments across datacenters.
• Strong CI/CD and IaC skills (Terraform, Ansible, Helm, Kustomize, Argo CD/Flux).
• Proficient in monitoring/observability tooling and data-driven operations.
• 5+ years coding/scripting in Go, Python, Perl, or Ruby; Go preferred.

Responsabilidades

• Own Kubernetes clusters end-to-end across on-prem and cloud environments.
• Define multi-cluster lifecycle policy and safe upgrade mechanics.
• Treat on-prem and cloud Kubernetes as one platform with consistent APIs.
• Develop declarative configurations and drive GitOps workflows.
• Build end-to-end observability and auto-healing practices.
• Lead on-call incidents and publish RCAs that drive improvement.

Conhecimentos

Kubernetes operations

Infrastructure as Code

GitOps

Incident response

Go/Python scripting

Troubleshooting at scale

Cloud & on-prem hybrid

Formação

Bachelor's degree in Computer Science or related field

Ferramentas

Terraform

Ansible

Helm

Kustomize

Argo CD/Flux

Descrição da vaga

NVIDIA is seeking a Senior SRE to own and scale the Kubernetes platform supporting its edge of EDA workloads in Santa Clara. You will manage end-to-end clusters across on-prem data centers and public clouds, implement a unified platform with consistent APIs, and drive automation through IaC and GitOps.

The role emphasizes designing for failure, observability, and proactive incident response, collaborating with storage, network, and EDA teams to meet architectural needs and ensure reliable,