Jobs → Engineering → Kubernetes & AI Platform Engineer

About the Role We are looking for a Kubernetes & AI Platform Engineer to join our team. This role focuses on building and maintaining Kubernetes infrastructure with a focus on AI and machine learning platforms. Key Responsibilities • Design and implement Kubernetes solutions for AI/ML workloads • Configure and manage NVIDIA GPU infrastructure in Kubernetes environments • Implement GPU scheduling, sharing, and monitoring solutions • Develop and maintain Terraform, Helm, and CI/CD pipelines • Troubleshoot infrastructure issues and optimize performance • Ensure security and compliance with cloud security standards Requirements • 7+ years of experience with Kubernetes (AKS, GKE, GDC) • Strong hands-on experience with NVIDIA GPU infrastructure • Experience with GPU scheduling, sharing, MIG, and time-slicing • Proficiency in Terraform, Helm, and GitHub Actions • Python, Go, and Bash scripting skills • Knowledge of Kubernetes networking, storage, RBAC, and security • Experience with monitoring, logging, and observability tools • Linux, Docker, and container infrastructure troubleshooting • Cloud security, policy-as-code, CIS, STIG, and Wiz • Local candidates only – onsite interview mandatory