Middle DevOps Engineer

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