Postúlate en Kit Empleo: kitempleo.cl/empleo/19ys9b

We are delivering resilient Kubernetes and Linux platforms optimized for GPU scheduling and large-scale automation in AI compute environments. As a Middle DevOps Engineer, you will operate Kubernetes (including Volcano) and Linux GPU clusters, automate workflows with Python and UNIX shell scripting, and partner with a client-facing delivery team. Apply to help build reliable, high-throughput compute platforms for advanced AI workloads. Responsibilities Deploy, configure, and run GPU-enabled Kubernetes clusters and standalone Linux compute environments while keeping scheduling and performance optimized Implement and manage Volcano job scheduling, including queue setup, POD execution, GPU allocation, and namespace quota enforcement Administer Kubernetes end to end, including namespaces, RBAC, resource quotas, and workload isolation approaches Develop and maintain Python and Shell automation to simplify job submission, resource provisioning, and system reporting Collaborate with orchestration, optimization, and observability teams to boost scheduling efficiency,



improve capacity utilization, and streamline researcher workflows Monitor infrastructure health and resource utilization, supplying data and feedback for optimization and reporting needs Identify opportunities to improve infrastructure, tooling, and automation workflows to raise performance, scalability, and usability Ensure operational processes 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 in complex, large-scale environments Deep expertise in Kubernetes administration and orchestration, including namespaces, POD scheduling/distribution, PVC, NFS, and resource quota management Practical experience using the Volcano scheduler for GPU job execution, queue configuration, and workload prioritization integrated with Kubernetes Proven abi

Postúlate en Kit Empleo: kitempleo.cl/empleo/19ys9b

📌 DevOps Engineer (Los Andes)
🏢 EPAM Systems
📍 Los Andes