HPC Computing) Consultant

we are looking for HPC (High-Performance Computing) Consultant immediately with experience in AWS, HPC

Job duties/accountabilities

Location
- Remote

We are looking for a individual contributor 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, Dev Ops Engineer, AI Infrastructure Engineer, or Site Reliability Engineer (SRE) roles.

Key Responsibilities

• Design, deploy, operate, and support large-scale Kubernetes platforms across AWS, GCP, Core Weave, 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 (EKS, GKE, AKS, Open Shift, Core Weave CKS)
• Cluster Lifecycle Management
• Node Pool Management
• CNI Troubleshooting
• RBAC
• Autoscaling
• AWS (EC2, S3, IAM, VPC, EKS, EFS, FSx for Lustre)

Infrastructure as Code & Automation

• Terraform
• Infrastructure as Code (IaC)
• Git Hub Actions / Jenkins / Git Lab CI
• Ansible (Preferred)

Programming & Scripting

• Python
• Bash/Shell Scripting
• Automation Development
• REST API Integration

HPC & GPU Infrastructure (Preferred)

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

Monitoring & Reliability

• Grafana
• Splunk
• SLI/SLO Management
• Root Cause Analysis (RCA)

Preferred Experience

Experience with any of the following is highly desirable: