Hpc Kubernetes Architect L2

Wipro•Redmond, WA

3d•Remote

About The Position

Wipro Limited is seeking an HPC / Kubernetes Engineer for a 100% US remote role focused on operating large-scale, multi-cloud Kubernetes platform infrastructure. The position is Kubernetes-heavy, with responsibility for platform stability and preventing costly GPU-hour losses caused by misconfigurations or failed upgrades. Clusters are large enough that novel failure modes are routine. The engineer will operate Kubernetes platforms across multiple providers, provision HPC infrastructure through CI/CD, and manage GPU compute scheduling for training and inference workloads. The role also includes defining reliability objectives, building monitoring and alerting, responding to severity escalations, documenting post-incident reviews, and coordinating with Networking, Storage, Security, and AI/ML platform teams. The expected compensation range is $100,000 to $220,000. Final compensation depends on factors including geographical location, minimum wage obligations, skills, and relevant experience. The role is eligible for Wipro’s standard benefits, including medical and dental benefits options, disability insurance, paid time off (including sick leave), and other paid and unpaid leave options. Employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

Requirements

More than 10 years of experience, as stated under the experience listing.
At least 4 years in infrastructure engineering, cloud platforms, or HPC.
Hands-on Kubernetes experience operating clusters at meaningful scale, including node pool sizing, scheduler debugging, CNI troubleshooting, and rolling upgrades across large fleets.
Terraform proficiency, including daily infrastructure-as-code authoring and review.
Working knowledge of AWS, including EC2, S3, EFS, and FSx for Lustre.
Python skills for tooling and automation.
Mandatory skill: App-Cloud-Kubernetes.

Responsibilities

Operate Kubernetes platforms (EKS, CKS, and GKE) at significant scale across providers.
Manage cluster lifecycle, node pools, networking policy, and platform stability during rapid growth.
Provision HPC infrastructure through CI/CD across AWS, CoreWeave, GCP, and OCI, with additional providers planned.
Manage job scheduling to allocate GPU compute across training and inference workloads.
Define and maintain SLIs and SLOs.
Build monitoring and alerting.
Participate in severity escalation response and author post-incident reviews.
Coordinate daily with Networking, Storage, Security, and AI/ML platform teams.