EU remote
DevOps Engineer - Azure (Contractor)
About this role
Location Remote (Candidates must be located within +/- 2 hours from GMT+8) About Us Terminal 3 is a deep-tech company solving enterprise data privacy and security problems — unlocking AI agent automation without the risk, by securing agent identities, credentials, and computation. Its flagship product, Agent Command, is a single trust plane for an enterprise's protected AI workflows: verifiable agent identities, hardware-sealed secrets, and a tamper-proof, regulator-ready audit trail.
Led by repeat founders and corporate executives from Google, Spotify, Uber, Skillshare, and SCMP, Terminal 3 is built on the belief that ‘good people make great teams that change the world’. Join us and empower a more equitable digital future. About The Role We are looking for a talented DevOps Engineer to join us for a focused, 2-month contract engagement . As our DevOps Engineer working, you will work closely with other Engineers and cross-functional teams to configure and manage the deployment, tools, and operations of our products on Microsoft Azure.
What You Will Do Set up and manage Azure compute, storage, networking, load balancing, DNS, and security services Design, implement, and maintain CI/CD pipelines, including building secure and reproducible Linux machine images Implement and maintain monitoring and logging solutions for cloud-based applications Collaborate with development teams to improve application reliability, performance, and operational readiness on Azure Troubleshoot and resolve issues related to cloud infrastructure and deployments Implement and maintain security best practices for cloud-based systems What You Need To Succeed 5+ years of experience and proven track record in infrastructure and DevOps Strong experience with Azure services and toolsStrong experience with Azure services and tools, along with working knowledge of AWS and the ability to work across both Strong experience with Infrastructure as Code, preferably Terraform and Ansible Experience building machine images with Packer or similar tools Proficient in using AI — especially agentic systems — for coding, code reviews, testing, and documentation while being responsible for the quality of what gets deployed Experience building CI/CD pipelines with GitHub Actions or similar tools Proficiency in scripting languages such as Python, Bash, or PowerShell Familiarity with containerization technologies (e.g.