Senior DevOps Engineer – AI & Kubernetes Platform Lead

Halian | Managed Services, Recruitment Agency & Contract Staffing

Abu Dhabi

In loco

AED 300.000 - 600.000

Tempo pieno

14 giorni+

Generatore di candidature

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Descrizione del lavoro

Halian is seeking a Senior DevOps Engineer in Abu Dhabi to lead the deployment and optimization of enterprise Kubernetes environments running on Nutanix, ensuring resilience and scalable operations. You will design infrastructure for AI/ML workloads, enable GPU-enabled pipelines, and implement CI/CD, monitoring, and security controls across the platform.

Collaborate with AI teams and platform architects to onboard applications and establish best practices, with a focus on reliability and

Competenze

Minimum 5 years of experience in DevOps, Platform Engineering, Cloud Operations, or SRE with at least 3 years of hands‑on Kubernetes administration in production.
Strong experience with Nutanix technologies including AHV, Prism, Karbon, Files, and Objects in enterprise environments.
Demonstrated experience supporting AI/ML platforms and tools such as Kubeflow, MLflow, KServe, Ray, or similar ecosystems.
Advanced knowledge of Infrastructure as Code and platform automation using Terraform, Ansible, Helm, and GitOps methodologies.
Proficiency in scripting/automation using Python, Bash, Go, or equivalent languages.
Experience managing GPU‑enabled Kubernetes environments and NVIDIA accelerator technologies.
Understanding Kubernetes networking, storage, security, and policy enforcement frameworks.
Hands‑on experience with CI/CD tools like GitLab CI, GitHub Actions, Jenkins, or similar.
Experience implementing observability and monitoring in cloud‑native environments.
Bachelor’s degree in CS/IT/Engineering or related field.

Mansioni

Lead deployment, administration, and optimization of enterprise Kubernetes on Nutanix infrastructure for resilience and scalability.
Design and build infrastructure for AI/ML workloads, including GPU-enabled environments and data pipelines.
Develop automated provisioning and configuration management with Terraform, Ansible, Helm, and GitOps.
Establish and enhance CI/CD pipelines for AI services, containerized apps, and ML workflows.
Drive observability with Prometheus, Grafana, ELK, and OpenTelemetry.
Implement security controls including RBAC, image governance, secrets management, and network segmentation.
Optimize cluster performance, storage, networking, and compute resources across CPU/GPU workloads.
Collaborate with AI engineers and platform architects to onboard apps and establish best practices.
Define, implement, and validate backup, recovery, and disaster recovery procedures for Kubernetes platforms.