Cloud & DevOps Engineer
Summary
Early-career Cloud & DevOps Engineer maintaining and improving cloud infrastructure, CI/CD pipelines, containers, monitoring, and data/ETL workflows for a healthcare technology platform. Works hands-on with AWS/GCP/Azure, Linux, Docker, Python, SQL, and AI coding tools from an office in Chiang Mai.
About the role
As a Cloud and DevOps Engineer, you will help maintain and improve the infrastructure that powers healthcare technology solutions. You will work across cloud infrastructure, deployment pipelines, containers, monitoring, and data workflows to ensure the platform remains reliable, secure, and efficient. This is an opportunity for an early-career engineer who enjoys solving technical problems, learning new technologies, and taking ownership of tasks from investigation through implementation. You will collaborate with engineers, product teams, and clinical experts while gaining hands-on experience supporting a production healthcare platform.
Key responsibilities
Help maintain and improve cloud environments across platforms such as AWS, GCP, or Azure, ensuring infrastructure is reliable and efficient
Support the development and maintenance of CI/CD pipelines, deployment processes, containers, and related infrastructure
Monitor system performance, investigate production issues, identify root causes, and implement solutions to improve reliability
Work with Linux environments, Docker, and related tools to support application deployment and operations
Contribute to infrastructure automation and infrastructure-as-code practices to improve consistency and reduce manual work
Help build, maintain, and troubleshoot data pipelines and ETL processes to ensure data moves accurately and securely across systems
Support secure handling of sensitive data and help maintain stable, reliable production environments
Use AI coding tools to explore unfamiliar codebases, automate tasks, troubleshoot problems, and deliver working solutions efficiently
Document technical solutions, infrastructure processes, and lessons learned to improve knowledge sharing across the team
Work with engineering, product, and clinical teams to understand technical needs, deliver improvements, and adapt as the platform evolves
About you
2+ years of hands-on engineering experience (internships, graduate roles, freelance work, and substantial personal projects are all relevant)
Solid knowledge of Python and SQL
Comfortable working with the Linux command line, Git, and Docker
Hands-on experience with at least one cloud platform: AWS, GCP, or Azure
Exposure to building or maintaining data pipelines
Experience using AI coding tools, such as Claude, GitHub Copilot, or Cursor, to build and deliver working software
Good English communication skills, with the ability to communicate clearly with both technical and non-technical colleagues
About us
Azendo is an offshore software development company that builds dedicated teams of offshore developers for companies whose product roadmaps have outgrown their hiring capacity. We help our partners build and scale strong engineering teams while managing recruitment, operations, and team delivery.
Our partner is a venture-backed healthcare technology company developing an AI-driven medication management platform designed to reduce adverse drug events across pharmacies, hospitals, and aged care facilities. Its AI analytics and compliance tools help healthcare professionals work more efficiently and securely while supporting safer medication practices at the point of care. The company values integrity, tenacity, self-initiative, and creative thinking. It encourages team members to grow both professionally and personally, take ownership of their work, and have a meaningful say in what they build and how they develop.
Click apply here - https://azendo.co/careers/