Lead Cloud Platform Engineer

TechDoQuest; United States; Remote; CAD 110,000 - 170,000; Full time

Job summary

TechDoQuest is seeking a remote HPC (High-Performance Computing) Consultant to design, deploy, and support large-scale Kubernetes platforms across AWS, GCP, CoreWeave, and other clouds. You will manage cluster lifecycles, scalability, and GPU-enabled infrastructure for AI/ML workloads.

Ideal candidates have strong Kubernetes, Terraform, and CI/CD experience, with a background in HPC or GPU computing. Remote-first role with occasional on-site visits to customer offices may apply.

Qualifications

• 5+ years of Kubernetes and cloud infra experience.
• Hands-on with HPC and GPU compute environments.
• Experience across CI/CD and IaC tooling.
• Strong problem-solving and collaboration skills.

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.

Skills

Kubernetes

Cluster Lifecycle Management

Node Pool Management

CNI Troubleshooting

RBAC

Autoscaling

AWS

GCP

CoreWeave

GPU Scheduling

Distributed Computing

Tools

Terraform

IaC

GitHub Actions

Jenkins

GitLab CI

Ansible

Job description

Role: HPC (High-Performance Computing) Consultant (5+ Openings)

Location: Remote

Work Type: Remote-first, with occasional on-site visits to customer offices.

We are looking for individual contributor with expertise across Kubernetes, cloud infrastructure, HPC platforms, GPU computing, Terraform, and Python Coding. 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 (EKS, GKE, AKS, OpenShift, CoreWeave 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)
• 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)
• 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: