HPC KUBERNETES ARCHITECT L2

Wipro; Redmond (UT); Remote; USD 100,000 - 220,000; Full time

Benefits offered by this job

Medical and dental benefits

Paid time off

Job summary

Wipro is seeking a Kubernetes-focused HPC Engineer to operate large-scale clusters across multiple clouds and drive infrastructure automation. The role is 100% remote within the United States, with a strong emphasis on reliability and scalable operations.

You will own cluster lifecycle, build and maintain CI/CD pipelines for HPC workloads, and collaborate with cross-functional teams to ensure high availability and performance of GPU-intensive workloads.

Qualifications

• Kubernetes experience at scale including node pools, scheduling, and upgrades.
• Terraform for IaC daily and reliable automation.
• AWS services familiarity (EC2, S3, EFS, FSx for Lustre).
• Python tooling and automation experience.

Responsibilities

• Operate Kubernetes platforms (EKS, GKE, etc.) at scale, manage clusters and upgrades.
• Provision HPC infrastructure via CI/CD across multiple cloud providers.
• Manage GPU scheduling across training and inference workloads.
• Define and monitor SLIs/SLOs, build monitoring and incident post-mortems.
• Coordinate with Networking, Storage, Security, and AI/ML teams.

Skills

Kubernetes

Terraform

AWS

Python

Job description

Job Description

HPC / Kubernetes Engineer | 100% US Remote

This role is Kubernetes-heavy. You'll operate multi-cloud platform infrastructure where misconfigurations or failed upgrades translate directly into thousands of lost GPU-hours. The clusters are large enough that novel failure modes are routine.

Responsibilities

• Operate Kubernetes platforms (EKS, CKS, GKE) at significant scale across providers. You're responsible for cluster lifecycle, node pool management, networking policy, and maintaining stability during rapid growth.
• Provision HPC infrastructure through CI/CD system across AWS, CoreWeave, GCP, and OCI, with additional providers to be expanded in the near future.
• 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 response and author post-incident reviews.
• Coordinate daily with Networking, Storage, Security, and AI/ML platform teams.

Requirements

• 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: node pool sizing, scheduler debugging, CNI troubleshooting, and rolling upgrades across large fleets. Candidates whose K8s experience is limited to small or local environments are unlikely to be a fit.
• 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.

Mandatory Skills: App-Cloud-Kubernetes

Experience: >10 YEARS

The expected compensation for this role ranges from $100,000 to $220,000 .

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

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