Azure Dev Ops Engineer

Adecco; Kuala Lumpur; On-site; MYR 150,000 - 200,000; Full time

Job summary

A leading staffing agency seeks a skilled DevOps Engineer for a 6-month renewable contract in Kuala Lumpur. The candidate will design, implement, and maintain CI/CD pipelines for data and AI workloads, manage environment segregation, and collaborate closely with the data engineering team. Applicants should have 5–7 years of experience in DevOps, strong expertise in Azure DevOps, and scripting in Python or PowerShell. This on-site role promises opportunities for career growth in a dynamic environment.

Qualifications

• 5–7 years of experience in DevOps or cloud infrastructure engineering.
• At least 3 years of experience in Azure.
• Strong command of scripting languages (Python, PowerShell, Bash).

Responsibilities

• Design, implement, and maintain CI/CD pipelines for data and AI workloads.
• Manage environment segregation and enforce access controls.
• Collaborate with data engineering teams on deployment workflows.

Skills

Azure DevOps

CI/CD pipeline automation

Docker

Kubernetes

Python

PowerShell

Bash

Tools

Azure

Git

Airflow

Databricks

Job description

Job type: 6 months contract | renewable up to 5 years

job mode: on-site | KL

Responsibilities

• Design, implement, and maintain CI/CD pipelines for data and AI workloads using Azure DevOps
• Manage environment segregation (development, staging, production) and enforce access controls and deployment governance
• Automate build, testing, and release processes for Airflow, Databricks, and related components
• Collaborate with the data engineering team to optimize deployment workflows and troubleshoot environment issues
• Establish monitoring and alerting mechanisms for data pipeline performance and infrastructure reliability

Requirements

• 5–7 years of experience in DevOps or cloud infrastructure engineering, with at least 3 years in Azure
• Strong command of Azure DevOps, Git, and CI/CD pipeline automation
• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Experience supporting data platform deployments (Databricks, Airflow, data warehouses)
• Understanding of networking, identity management, and security practices in Azure
• Strong scripting experience (Python, PowerShell, Bash)
• Prior experience working with multi-environment setups and production‑grade deployments