DevOps Engineer

At QIMA, we are on a mission to offer our clients smart solutions to make products you can trust.

Operating in over 100 countries, we serve the consumer products, food, and life sciences industries and help more than 30,000 brands, retailers, manufacturers, and growers achieve quality excellence.

We combine on-the-ground expertise with digital solutions that bring accuracy, transparency and intelligence for quality and compliance data.

What sets us apart is our unique culture. Our 5,000 Qimers live and make decisions every day by our QIMA Values. With client passion, integrity, and a commitment to making things simple, we disrupted the Testing, Inspection, and Certification industry. Are you ready to hop on this exciting ride with us and help us achieve our mission?

Based in our Shenzhen office, you will be expected to:

1. Be part of the team to improve the infrastructure as code (IaC) platform in QIMA;
2. Write clean, robust and easy to maintain code with selected git branching model;
3. Implement configuration and automation tools to simplify deployment and update processes across the entire tech stack;
4. Proactively and collaboratively automate application/database deployment processes and incident response;
5. Participate in the diagnosis of production incidents and identify the root cause;
6. Monitor application systems, implement optimizations and improvements;
7. Design and implement reusable solutions that are capable of meeting short term requirements with future enhancements in mind;
8. Develop automated processes with AWS/Azure CI/CD solutions, scripting languages such as shell, Python;
9. Apply Agile and DevOps methodologies to the automate application release/monitoring lifecycle.

Based in our Shenzhen office, you will be expected to:

1. Be part of the team to improve the infrastructure as code (IaC) platform in QIMA;
2. Write clean, robust and easy to maintain code with selected git branching model;
3. Implement configuration and automation tools to simplify deployment and update processes across the entire tech stack;
4. Proactively and collaboratively automate application/database deployment processes and incident response;
5. Participate in the diagnosis of production incidents and identify the root cause;
6. Monitor application systems, implement optimizations and improvements;
7. Design and implement reusable solutions that are capable of meeting short term requirements with future enhancements in mind;
8. Develop automated processes with AWS/Azure CI/CD solutions, scripting languages such as shell, Python;
9. Apply Agile and DevOps methodologies to the automate application release/monitoring lifecycle.