Middle DevOps Engineer (México)

Middle DevOps Engineer (México)

We are operating Kubernetes and Linux GPU infrastructure that emphasizes Volcano-based scheduling, reliability, and automation for AI compute at scale. As a Middle DevOps Engineer, you will administer Kubernetes and Linux environments, build Python and Bash automation for job workflows, and work closely with client stakeholders in a delivery team. Apply to help optimize compute performance and researcher experience for demanding AI workloads.

Responsibilities

- Operate and tune GPU-enabled Kubernetes clusters and standalone Linux compute environments to keep scheduling and performance optimized
- Manage Volcano job scheduling, including queue setup, POD execution, GPU allocation, and namespace quota enforcement
- Administer Kubernetes end to end with namespaces, RBAC, resource quotas, and workload isolation approaches
- Create and support Python and Shell automation to simplify job submission, resource provisioning, and system reporting
- Work with orchestration, optimization, and observability teams to raise scheduling efficiency, improve capacity utilization, and streamline researcher workflows
- Measure infrastructure health and resource utilization, supplying data and feedback for optimization and reporting needs
- Enhance infrastructure, tooling, and automation workflows to improve performance, scalability, and usability
- Ensure operations deliver a smooth and efficient experience for researchers running diverse AI and computational workloads

Requirements





- Hands-on background with 2+ years of experience in DevOps or infrastructure engineering within complex, large-scale environments
- Expertise in Kubernetes administration and orchestration, including namespaces, POD scheduling/distribution, PVC, NFS, and resource quota management
- Practical experience with the Volcano scheduler for GPU job execution, queue configuration, and workload prioritization integrated with Kubernetes
- Proven ability to operate GPU cluster environments in Kubernetes as well as on standalone Linux compute nodes
- Advanced Python scripting skills for infrastructure automation, plus proficiency in UNIX Shell scripting such as Bash
- Strong Linux system administration skills, including troubleshooting, performance tuning, and configuration management
- Solid understanding of infrastructure automation and orchestration concepts and related tooling
- Fluent English communication skills (spoken and written) for direct client interaction

Nice to have

- Knowledge of Helm package management for Kubernetes applications
- Familiarity with monitoring and observability solutions, particularly Prometheus, Grafana, and Loki
- Skills in Infrastructure as Code tools such as Terraform
- Background in multi-cloud Kubernetes environments including Amazon EKS and Google GKE
- Understanding of Azure Networking including VPN, ExpressRoute, and network security
- Familiarity with AI-assisted coding tools such as GitHub Copilot, ChatGPT, and Claude
- Experience with hybrid (cloud and on-premises) scheduling and resource optimization

📌 Middle DevOps Engineer (México)
🏢 Epam Systems
📍 México