We're looking for a DevSecOps Engineer to help design and secure the Azure platform powering our DREAMS AI solution. You'll work alongside AI/ML engineers to build production-ready infrastructure that is secure, scalable, and reliable from day one. This is a hands-on role with real technical ownership, where you'll influence architecture decisions, automate cloud operations, and help establish engineering best practices for a modern AI platform. Job responsibilities Design secure, scalable infrastructure on Microsoft Azure. Build Infrastructure as Code using Terraform, Bicep, or ARM. Create secure CI/CD pipelines and deployment automation. Deploy and operate Kubernetes-based services. Implement monitoring, logging, and observability across the platform. Strengthen cloud security with IAM, networking, secrets management, and infrastructure hardening. Collaborate with AI/ML engineers to deliver reliable production environments. Document solutions and help establish long-term platform standards. Key requirements 5+ years of experience in DevOps, DevSecOps, Platform, or Cloud Engineering. Strong Azure expertise. Hands-on experience with Infrastructure as Code. Experience building modern CI/CD pipelines. Solid knowledge of Docker and Kubernetes. Strong understanding of cloud security, networking, and identity management. Experience with monitoring and observability tools. English level B2 or higher. Nice to Have Experience supporting AI/ML platforms. Azure Machine Learning, Synapse, or Databricks. DevSecOps automation and security tooling. Disaster recovery, FinOps, or compliance frameworks such as ISO 27001 or SOC 2. Why Join Us Build the cloud platform behind enterprise AI solutions. Influence architecture and security decisions from the beginning. Work with modern Azure, Kubernetes, and Infrastructure as Code technologies. Collaborate with experienced AI and cloud engineers in a remote-first environment. Solve complex engineering challenges while making a visible impact on a high-priority platform.
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