Senior DevOps Engineer – Kubernetes & AI Platform

About the role

We are looking for a Senior DevOps Engineer to lead the design, deployment, and operation of enterprise‑grade Kubernetes platforms on Nutanix infrastructure. You will work closely with AI engineers and platform architects to deliver scalable, secure, and high‑performance environments for machine‑learning workloads.

Key responsibilities

• Deploy, administer, and optimise Kubernetes clusters on Nutanix AHV, ensuring resilience and scalability.
• Design infrastructure for AI/ML workloads, including GPU‑enabled nodes, model deployment frameworks and large‑scale data pipelines.
• Automate provisioning and configuration using Terraform, Ansible, Helm and GitOps practices.
• Build and maintain CI/CD pipelines for containerised applications and ML workflows.
• Implement monitoring, logging, tracing and alerting with Prometheus, Grafana, ELK and OpenTelemetry.
• Enforce security controls such as RBAC, image governance, secrets management, network segmentation and workload protection.
• Optimise cluster performance, storage, networking and compute resources for CPU and GPU workloads.
• Collaborate with development teams to onboard applications and define operational best practices.
• Define and test backup, recovery and disaster‑recovery procedures for Kubernetes platforms.

Required profile

• Minimum 5 years of experience in DevOps, Platform Engineering, Cloud Operations or SRE, with at least 3 years of production Kubernetes administration.
• Strong hands‑on experience with Nutanix technologies (AHV, Prism, Karbon, Files, Objects).
• Proven experience supporting AI/ML platforms such as Kubeflow, MLflow, KServe or Ray.
• Advanced knowledge of Infrastructure‑as‑Code and automation tools (Terraform, Ansible, Helm, GitOps).
• Proficiency in scripting languages (Python, Bash, Go or equivalent).
• Experience managing GPU‑enabled Kubernetes clusters and NVIDIA accelerators.
• Solid understanding of Kubernetes networking, storage, security and policy frameworks.
• Hands‑on experience with CI/CD tools (GitLab CI, GitHub Actions, Jenkins).
• Experience implementing observability solutions in cloud‑native environments.
• Bachelor’s degree in Computer Science, IT, Engineering or related field, or equivalent practical experience.

Required skills

• Kubernetes
• Nutanix AHV, Prism, Karbon, Files, Objects
• GPU orchestration, NVIDIA technologies
• Terraform, Ansible, Helm, GitOps
• Python, Bash, Go
• CI/CD (GitLab CI, GitHub Actions, Jenkins)
• Observability tools (Prometheus, Grafana, ELK, OpenTelemetry)
• Security controls (RBAC, image governance, secrets management, network segmentation)
• Backup and disaster‑recovery for Kubernetes