Summary: Seeking a Senior DevOps Engineer to automate, scale, and optimize robust GPU-ready Kubernetes and Linux platforms for AI and research workloads within a delivery team. Highlights: 1. Building robust GPU-ready Kubernetes and Linux platforms 2. Automating and optimizing orchestration for AI and research workloads 3. Collaborating to enhance scheduling efficiency and capacity utilization We are building robust GPU\-ready Kubernetes and Linux platforms, and need a Senior DevOps Engineer to automate, scale, and optimize orchestration. You will run Kubernetes administration with Volcano scheduling, quotas, and isolation while automating with Python and Bash for AI and research workloads. Join our delivery team and apply today **Responsibilities** * Deploy, configure, and maintain GPU\-enabled Kubernetes clusters and standalone Linux compute environments to keep scheduling and performance optimal * Implement and operate Volcano job scheduling, including queue setup, POD execution, GPU allocation, and namespace quota enforcement * Administer Kubernetes end\-to\-end, covering namespaces, RBAC, resource quotas, and workload isolation strategies * Develop and maintain Python and Shell automation to simplify job submission, resource provisioning, and system reporting * Collaborate with orchestration, optimization, and observability teams to raise scheduling efficiency, capacity utilization, and researcher workflows * Monitor infrastructure health and resource usage, supplying data and feedback for optimization and reporting requirements * Identify and propose improvements across infrastructure, tooling, and automation workflows to increase performance, scalability, and usability * Ensure operational processes provide researchers with a smooth and efficient experience across varied AI and computational workloads **Requirements** * At least 3 years of experience in DevOps or infrastructure engineering across complex, large\-scale environments * Expert\-level Kubernetes administration skills, including namespaces, POD scheduling/distribution, PVC, NFS, and resource quota management * Hands\-on experience with Volcano scheduler for GPU job execution, including queue configuration and workload prioritization with Kubernetes integration * Proven ability to operate GPU cluster environments in Kubernetes as well as on standalone Linux compute nodes * Advanced Python scripting expertise for infrastructure automation, plus UNIX Shell scripting skills such as Bash * Strong Linux system administration capabilities, including troubleshooting, performance tuning, and configuration management * Solid understanding of infrastructure automation and orchestration concepts and 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