Senior MLOps Engineer - GPU Infra & Kubernetes

Sundus

Abu Dhabi

On-site

AED 300,000 - 600,000

Full time

7 days ago
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Job summary

Sundus is seeking a senior DevOps specialist to design, provision, and maintain GPU-enabled infrastructure for AI/LLM workloads, on-premises or cloud-based. You will configure Linux systems for performance and security and implement container orchestration strategies for high availability.

Candidates should have 10+ years in DevOps with strong MLOps exposure, GPU infra experience, Linux admin expertise, and proficiency with Docker/Kubernetes, CI/CD tools, cloud platforms, IaC, and monitoring

Qualifications

  • Bachelor's or master's degree in computer science, engineering or related field.
  • 10+ years of experience in DevOps with strong exposure to MLOps environments.
  • Hands-on experience with GPU infrastructure setup and management.
  • Strong expertise in Linux system administration.
  • Proficiency with Docker and Kubernetes (cluster setup and management).
  • Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions, GitLab CI).
  • Experience with cloud platforms (Azure preferred, AWS or GCP acceptable).
  • Familiarity with Infrastructure as Code tools (Terraform, ARM, CloudFormation).
  • Experience with monitoring tools (Prometheus, Grafana, ELK stack).

Responsibilities

  • Design, provision, and maintain GPU-enabled infrastructure for AI/LLM workloads.
  • Configure and manage Linux OS for performance and security.
  • Implement container orchestration for high availability, fault tolerance, and scalability.

Skills

MLOps exposure
GPU infrastructure
Linux administration
Docker & Kubernetes
CI/CD tooling
Cloud platforms
IaC (Terraform/ARM/CF)
Monitoring stacks

Education

Bachelor or Master in CS/Engineering

Tools

Docker
Kubernetes
Azure DevOps
Jenkins
GitHub Actions
GitLab CI
Terraform
ARM
CloudFormation
Prometheus
Grafana
ELK

Job description

Sundus is seeking a senior DevOps specialist to design, provision, and maintain GPU-enabled infrastructure for AI/LLM workloads, on-premises or cloud-based. You will configure Linux systems for performance and security and implement container orchestration strategies for high availability.

Candidates should have 10+ years in DevOps with strong MLOps exposure, GPU infra experience, Linux admin expertise, and proficiency with Docker/Kubernetes, CI/CD tools, cloud platforms, IaC, and monitoring

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