HPC Consultant

Role: HPC (High-Performance Computing) Consultant
Location: Remote 
Duration: Fulltime
Interview Type: Video
 

Must Have: Kubernetes + Slurm + NVIDIA GPU + AI/ML Infrastructure + Terraform + Python + AWS (EKS/FSx Lustre) + HPC Storage + Monitoring/SRE

We are looking for engineers with expertise across Kubernetes, cloud infrastructure, HPC platforms, GPU computing, Terraform, and automation. Depending on experience, candidates may be considered for Platform Engineer, Kubernetes Engineer, HPC Engineer, Cloud Infrastructure Engineer, DevOps Engineer, AI Infrastructure Engineer, or Site Reliability Engineer (SRE) roles.

Key Responsibilities

Design, deploy, operate, and support large-scale Kubernetes platforms across AWS, GCP, CoreWeave, OCI, and other cloud environments.
Manage Kubernetes cluster lifecycle activities including provisioning, scaling, node pool management, upgrades, troubleshooting, and performance optimization.
Support AI/ML and HPC workloads, including GPU-enabled compute infrastructure for training and inference environments.
Provision and automate cloud and infrastructure resources using Terraform and CI/CD pipelines.
Troubleshoot Kubernetes scheduling, networking, storage, and platform reliability issues.
Implement monitoring, observability, alerting, SLIs/SLOs, and incident response processes.
Collaborate with Networking, Security, Storage, AI/ML, Data Engineering, and Application teams.
Develop automation and operational tooling using Python and cloud-native technologies.
Participate in production support, root cause analysis, capacity planning, and platform optimization initiatives.
 

Required Skills

Kubernetes & Container Platforms

Kubernetes (EKS, GKE, AKS, OpenShift, CoreWeave CKS)
Cluster Lifecycle Management
Node Pool Management
Scheduler Troubleshooting
CNI Troubleshooting
Networking Policies
RBAC
Helm
Autoscaling
Rolling Upgrades
 

Cloud Infrastructure

AWS (EC2, S3, IAM, VPC, EKS, EFS, FSx for Lustre)
Google Cloud Platform (GCP)
OCI (Oracle Cloud Infrastructure)
Azure (Preferred)
Multi-Cloud Infrastructure
 

Infrastructure as Code & Automation

Terraform
Infrastructure as Code (IaC)
CI/CD Pipelines
GitHub Actions / Jenkins / GitLab CI
Ansible (Preferred)
 

Programming & Scripting

Python
Bash/Shell Scripting
Automation Development
REST API Integration
 

HPC & GPU Infrastructure (Preferred)

High-Performance Computing (HPC)
Slurm
NVIDIA GPU Platforms
GPU Scheduling
CUDA
Distributed Computing
AI/ML Infrastructure
 

Monitoring & Reliability

Prometheus
Grafana
Datadog
Splunk
Cloud Monitoring
SLI/SLO Management
Incident Response
Root Cause Analysis (RCA)
 

Preferred Experience

Experience with any of the following is highly desirable:

AI/ML Infrastructure Platforms
Kubeflow
KServe
Ray
MLflow
vLLM
Vector Databases
Distributed Training Platforms
CoreWeave
AWS ParallelCluster
FSx for Lustre
Lustre
WekaFS
InfiniBand
RDMA
AI Training & Inference Workloads
 

The pay range for this role is USD $180,000- $200,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate. 

AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.

“Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities.  Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com.”