Customertimes
JR-190767 Release Manager Senior
Visa Source Listed
📍🇺🇸 United States📅11h agoRemote
azuredockerkubernetesterraformci/cdmachine learningmlaidatabricks
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Job Description
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