JR-190767 Release Manager Senior

๐Ÿข Customertimes ยท all Customertimes jobs
๐Ÿ“ United States
๐Ÿ“… Posted 2026-07-31 ยท via Himalayas
๐Ÿท DevSecOps-Engineering,Cloud-Engineer,Platform-Engineering,Azure-Cloud-Engineering,DevOps-Engineer,Senior-Release-Manager-IT-Infrastructure,Release-Manager,IT-Release-Manager
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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.

Originally posted on Himalayas

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