Senior DevOps Engineer Nutanix Kubernetes & AI Platform

Job Description Roles & Responsibilities Key Responsibilities End-to-End Kubernetes Platform Ownership: Design, deploy, manage, and maintain production-grade Kubernetes clusters on Nutanix Karbon (or native K8s on Nutanix AHV), ensuring high availability, performance, and security. AI/ML Infrastructure Architecture: Architect and implement scalable, cost-efficient infrastructure tailored for AI workloadsincluding GPU orchestration, distributed training, model serving, and data-intensive pipelines. Infrastructure as Code (IaC): Automate provisioning and configuration of Nutanix K8s environments using Terraform, Ansible, Helm, and GitOps workflows (e.g., ArgoCD/Flux). CI/CD for AI Services: Build and maintain secure, efficient CI/CD pipelines for deploying AI microservices, model endpoints, and data processing jobs into K8s environments. Observability & SRE Practices: Implement comprehensive monitoring, logging, and alerting (using Prometheus, Grafana, ELK, OpenTelemetry, etc.) with SLO/SLI tracking for AI platform reliability. Security & Compliance: Enforce zero-trust networking, RBAC, pod security policies, image scanning, and secrets management (e.g., HashiCorp Vault) aligned with enterprise security standards. Performance Optimization: Tune K8s scheduling, storage (Nutanix Files/Objects), networking (CNI), and resource allocation (CPU/GPU/memory) for AI/ML workloads. Collaboration & Enablement: Partner with AI/ML engineers to onboard models and services onto the platform; document best practices and provide self-service tooling. Disaster Recovery & Backup: Implement and test backup/recovery strategies for K8s workloads and persistent data using Nutanix-native or third-party tools (e.g., Velero). Required Qualifications 5+ years of DevOps/SRE experience with 3+ years focused on Kubernetes in production environments. Deep hands-on experience with Nutanix (AHV, Prism, Karbon, Files, Objects) and managing K8s on-prem or hybrid. Proven track record designing and operating AI/ML infrastructure (e.g., Kubeflow, MLflow, Seldon, KServe, Ray). Expertise in Infrastructure as Code: Terraform, Helm, Ansible, GitOps. Strong scripting/automation skills (Python, Bash, Go). Experience with GPU orchestration (NVIDIA device plugins, MIG, CUDA) in K8s. Solid understanding of networking, storage, and security in K8s (CNI, CSI, RBAC, OPA/Gatekeeper). Familiarity with CI/CD tools (GitLab CI, Jenkins, GitHub Actions) and artifact management (Harbor, JFrog). Experience with observability stacks (Prometheus, Grafana, Loki, Tempo, OpenTelemetry). Bachelors degree in Computer Science, Engineering, or equivalent practical experience. Preferred Qualifications Nutanix certifications (e.g., NCP-MCI, NCP-DS). CNCF certifications (CKA, CKAD, CKS). Experience with multi-cluster management (Rancher, Anthos, OpenShift). Knowledge of MLOps practices and tools (MLflow, TFX, Kubeflow Pipelines). Experience in regulated industries (finance, healthcare) with compliance needs (SOC2, HIPAA, GDPR). Desired Candidate Profile Required Qualifications 5+ years of DevOps/SRE experience with 3+ years focused on Kubernetes in production environments. Deep hands-on experience with Nutanix (AHV, Prism, Karbon, Files, Objects) and managing K8s on-prem or hybrid. Proven track record designing and operating AI/ML infrastructure (e.g., Kubeflow, MLflow, Seldon, KServe, Ray). Expertise in Infrastructure as Code: Terraform, Helm, Ansible, GitOps. Strong scripting/automation skills (Python, Bash, Go). Experience with GPU orchestration (NVIDIA device plugins, MIG, CUDA) in K8s. Solid understanding of networking, storage, and security in K8s (CNI, CSI, RBAC, OPA/Gatekeeper). Familiarity with CI/CD tools (GitLab CI, Jenkins, GitHub Actions) and artifact management (Harbor, JFrog). Experience with observability stacks (Prometheus, Grafana, Loki, Tempo, OpenTelemetry). Bachelors degree in Computer Science, Engineering, or equivalent practical experience. Preferred Qualifications Nutanix certifications (e.g., NCP-MCI, NCP-DS). CNCF certifications (CKA, CKAD, CKS). Experience with multi-cluster management (Rancher, Anthos, OpenShift). Knowledge of MLOps practices and tools (MLflow, TFX, Kubeflow Pipelines). Experience in regulated industries (finance, healthcare) with compliance needs (SOC2, HIPAA, GDPR). Company Industry IT - Software Services Department / Functional Area IT Software Keywords Senior DevOps Engineer Nutanix Kubernetes & AI Platform Get real-time job updates only on our App