Azure DevOps Engineer
Description
Salary: ₱130,000 – ₱140,000 per month
About the role
We are looking for an Azure DevOps Engineer to join a highly agile engineering team focused on transforming innovative ideas and AI-assisted prototypes into proof-of-concept, pilot, and production-ready solutions. The role will focus on Microsoft Azure, DevOps automation, Infrastructure as Code, CI/CD, and engineering productivity, while working closely with back-end, full-stack, and technical leadership teams.
Key responsibilities
Design, build, and maintain Azure-based cloud infrastructure supporting development, testing, pilot, and production environments.
Develop, maintain, and optimize CI/CD pipelines to enable faster and more reliable software delivery.
Implement and manage Infrastructure as Code (IaC) using Terraform.
Automate deployment, testing, and repetitive engineering processes to improve overall development productivity.
Collaborate closely with Python back-end developers, full-stack developers, architects, and technical leads throughout the development lifecycle.
Support rapid development initiatives that move solutions from discovery and proof of concept through pilot and production.
Provide DevOps and infrastructure support for applications utilizing technologies such as Python and TypeScript.
Support Azure-based solutions that may leverage Azure AI Foundry, AI-assisted coding tools, and emerging AI technologies.
Troubleshoot and resolve issues involving cloud infrastructure, deployment pipelines, automation, and application environments.
Continuously identify opportunities to improve automation, reliability, scalability, and engineering efficiency.
About you
At least 3 years of relevant experience in DevOps, Cloud Engineering, or a related field.
Hands-on experience working with Microsoft Azure.
Experience designing and maintaining CI/CD pipelines and deployment automation.
Hands-on experience with Terraform and Infrastructure as Code principles.
Familiarity with Python and/or TypeScript development environments.
Experience or exposure to automated testing and deployment practices.
Familiarity with AI-assisted coding tools, Azure AI Foundry, or AI-enabled development is an advantage.
Strong troubleshooting, collaboration, and problem-solving skills.
Comfortable working in a fast-paced, agile environment with an automation-first and innovative mindset.