ES
Sr.Kubernetes Platform Engineer
Epsilon Solutions LTD
Location not stated
Remote
Senior
2 months ago
- Kubernetes
- AI/ML
- Machine Learning
- AI
- IaC
- Incident Response
- AWS
- EKS
- Python
- Golang
- Terraform
- Helm
- Prometheus
- Grafana
- Azure
- GCP
- MLOps
2 months ago
Work Location: Remote in Canada
Contract
Role Overview:
Senior Kubernetes Platform Engineer – AI/ML Infrastructure
(Alternative titles: Senior Cloud Infrastructure Engineer, ML Platform Engineer, Kubernetes Infrastructure Engineer)
Position Overview
We are looking for a Senior Kubernetes Platform Engineer to build and scale next-generation AI/ML infrastructure environments. This role focuses on Kubernetes-based orchestration, GPU cluster operations, workload scheduling, and cloud infrastructure modernization. The ideal candidate will have extensive experience managing large-scale machine learning workloads and driving infrastructure evolution in cloud-native environments.
Key Responsibilities
Design, deploy, and operate scalable Kubernetes platforms supporting AI and machine learning workloads.
Manage and optimize batch scheduling frameworks such as Volcano and Kueue for efficient GPU resource utilization.
Lead infrastructure modernization and migration initiatives across cloud-native environments.
Develop platform automation, deployment pipelines, and infrastructure tooling using Infrastructure-as-Code practices.
Build and maintain scalable observability frameworks for Kubernetes and GPU-based workloads.
Collaborate with machine learning, platform, and engineering teams to improve workload performance and reliability.
Drive operational excellence through monitoring, performance tuning, capacity planning, and incident response.
Establish best practices for Kubernetes operations, platform security, and infrastructure governance.
Required Qualifications
Strong hands-on experience with Kubernetes and batch scheduling frameworks such as Volcano, Kueue, or similar technologies.
Solid understanding of distributed systems, containerization, and cloud-native architectures.
Experience managing large-scale workloads on Kubernetes platforms, preferably AWS EKS.
Demonstrated success leading and executing infrastructure migration projects.
Strong programming skills in Python and Golang.
Hands-on experience with Infrastructure-as-Code tools such as Terraform and Helm.
Experience implementing observability and monitoring solutions for Kubernetes and GPU clusters using tools such as Prometheus and Grafana.
Excellent troubleshooting, analytical, and problem-solving abilities.
Ability to work effectively in a fast-paced, highly collaborative engineering environment.
Preferred Qualifications
Experience supporting large-scale AI/ML training or inference platforms.
Knowledge of GPU resource management and optimization.
Experience with cloud platforms such as AWS, Azure, or GCP.
Familiarity with MLOps and machine learning infrastructure ecosystems.
Sr.Kubernetes Platform Engineer · Epsilon Solutions LTD