Senior HPC Kubernetes Architect - Remote (US)

Wipro; Redmond (WA); A distancia; USD 100.000 - 220.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical benefits

Dental benefits

Paid time off

Descripción de la vacante

Wipro Limited in the United States is seeking a seasoned HPC / Kubernetes Engineer for 100% US remote work. You will operate large-scale Kubernetes clusters (EKS, GKE, CKS), manage node pools, networking policies, and upgrades while ensuring high availability of GPU-accelerated workloads across AWS, GCP, CoreWeave, and OCI.

You will own SLOs/SLIs, implement monitoring, and collaborate with Networking, Storage, Security, and AI/ML teams.

Formación

• 4+ years in infrastructure engineering, cloud platforms, or HPC.
• Kubernetes is the core requirement. You should have hands-on experience operating clusters at meaningful scale.
• Terraform proficiency. You'll write and review infrastructure-as-code daily.
• Working knowledge of AWS (EC2, S3, EFS, FSx for Lustre).
• Python for tooling and automation.

Responsabilidades

• Operate Kubernetes platforms (EKS, CKS, GKE) at significant scale.
• Provision HPC infrastructure through CI/CD across AWS, CoreWeave, GCP, and OCI.
• Manage job scheduling to allocate GPU compute across training and inference workloads.
• Define and maintain SLIs/SLOs. Build monitoring and alerting. Participate in severity escalation and post-incident reviews.
• Coordinate daily with Networking, Storage, Security, and AI/ML platform teams.

Conocimientos

Kubernetes

HPC

Cloud platforms

AWS

Herramientas

Terraform

Python

Kubernetes

Descripción del empleo

Wipro Limited in the United States is seeking a seasoned HPC / Kubernetes Engineer for 100% US remote work. You will operate large-scale Kubernetes clusters (EKS, GKE, CKS), manage node pools, networking policies, and upgrades while ensuring high availability of GPU-accelerated workloads across AWS, GCP, CoreWeave, and OCI.

You will own SLOs/SLIs, implement monitoring, and collaborate with Networking, Storage, Security, and AI/ML teams.