HPC KUBERNETES ARCHITECT L2

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

Benefits offered by this job

Medical and dental benefits

Disability insurance

Paid time off

Job summary

Wipro is seeking an HPC / Kubernetes Engineer for 100% US remote work. You will operate large-scale Kubernetes platforms (EKS, CKS, GKE) across multiple clouds, manage cluster lifecycles, node pools, and networking, and ensure stability during rapid growth.

The role requires 4+ years in infra engineering with strong Kubernetes skills, Terraform, AWS, and Python. We offer a comprehensive benefits package and a path to advanced multi-cloud infrastructure initiatives.

Qualifications

• 4+ years in infrastructure engineering, cloud platforms, or HPC.
• Kubernetes is the core requirement with hands-on experience at scale, including node pools, scheduling, and upgrades.
• Terraform proficiency for writing and reviewing infrastructure-as-code daily.
• Working knowledge of AWS services (EC2, S3, EFS, FSx for Lustre).
• Python for tooling and automation.

Responsibilities

• Operate Kubernetes platforms (EKS, CKS, GKE) at scale across providers; manage cluster lifecycle, node pools, networking, and upgrades.
• Provision HPC infrastructure through CI/CD across AWS, CoreWeave, GCP, OCI; expand providers.
• Manage job scheduling to allocate GPU compute for training and inference workloads.
• Define and maintain SLIs/SLOs; build monitoring/alerts; participate in incident reviews.
• Coordinate daily with Networking, Storage, Security, and AI/ML platform teams.

Skills

Kubernetes

Cloud platforms

Infrastructure as Code

Tools

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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