HPC (High-Performance Computing) Consultant

Role: HPC (High-Performance Computing) Consultant

Location: Remote

Duration: Fulltime (No Contractors)

Work Type

Remote-first, with occasional on-site visits to customer offices. Candidates located near any Meta office location will be preferred.

Interview Process

• 1st Interview Tech Mahindra: Kubernetes, HPC Technical Interview and Python Coding
• 2nd Interview Amazon: Kubernetes, HPC Technical Interview and Python Coding
• 3rd Interview Meta: Kubernetes, HPC Technical Interview and Python Coding

Must Have

Kubernetes + Slurm + NVIDIA GPU + AI/ML Infrastructure + Terraform + Python + AWS (EKS/FSx Lustre) + Monitoring/SRE

Key Responsibilities

• Design, deploy, operate, and support large-scale Kubernetes platforms across AWS, Google Cloud Platform, 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

Cloud Infrastructure

Infrastructure as Code & Automation

Programming & Scripting

HPC & GPU Infrastructure (Preferred)

Monitoring & Reliability

Preferred Experience

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 (Google Cloud Platform)
• 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

• 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