Senior Staff Engineer (DevOps Engineer AI/ML)

Nagarro; Remote; AED 293,000 - 441,000; Full time

Job summary

A leading tech firm in the United Arab Emirates is seeking a DevOps/MLOps Engineer to build and manage scalable automated infrastructure for their LLM-powered GenAI platform. This role involves designing CI/CD pipelines, automating infrastructure provisioning, and implementing MLOps workflows. Ideal candidates will have hands-on experience with tools such as Jenkins, Terraform, and Kubernetes, along with strong scripting abilities in Bash and Python. The position offers a full-time contract and enables remote work.

Qualifications

• Hands-on experience with CI/CD tools like Jenkins or GitHub Actions.
• Proficiency in automation with Terraform and services management in Kubernetes.
• Strong scripting skills in Bash and Python.

Responsibilities

• Design and maintain CI/CD pipelines using Jenkins or GitHub Actions.
• Automate infrastructure provisioning with Terraform and manage services with Kubernetes.
• Implement and monitor MLOps workflows with MLflow or similar.

Skills

Jenkins

GitHub Actions

Terraform

Kubernetes

Bash

Python

MLflow

Azure

AWS

GCP

Tools

Docker

Prometheus

Grafana

Job description

Job Description

Looking for a DevOps/MLOps Engineer to build and manage scalable automated infrastructure for our LLM‑powered GenAI platform. You’ll enable fast iteration and reliable deployment of models and services through robust CI/CD pipelines, container orchestration and ML lifecycle tooling.

Key Responsibilities

• Design and maintain CI/CD pipelines using Jenkins, GitHub Actions or similar.
• Automate infrastructure provisioning using Terraform and manage services with Kubernetes.
• Write and maintain Bash/Python scripts for automation and operational tooling.
• Implement and monitor MLOps workflows using tools like MLflow, Azure ML or similar.
• Support deployment and monitoring of LLM‑based models and APIs in production.

Required Skills

• Hands‑on experience with Jenkins, GitHub Actions or equivalent CI/CD tools.
• Proficiency with Terraform, Kubernetes, Docker and cloud‑native practices.
• Strong scripting skills in Bash and Python.
• Experience with ML model tracking, versioning and deployment using MLflow or similar.
• Familiarity with cloud platforms (e.g. Azure, AWS or GCP).

Nice to Have

• Exposure to LLM/GenAI deployment workflows.
• Experience with model performance monitoring and observability tools (Prometheus, Grafana, etc.).
• Security and cost optimisation best practices for ML infrastructure.

Remote Work

Yes

Employment Type

Full‑time