Sr. MLOps Engineer

Sundus; Abu Dhabi; On-site; AED 300,000 - 600,000; Full time

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

• Design, provision, and maintain GPU-enabled infrastructure (on-premises or cloud-based) for AI/LLM workloads.
• Configure and manage operating systems (primarily Linux-based) for optimal performance and security.
• Implement container orchestration strategies for high availability, fault tolerance, and scalability.
• 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 in 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 (IaC) tools (Terraform, ARM, CloudFormation).
• Experience with monitoring tools (Prometheus, Grafana, ELK stack, etc.).