Azure Cloud / DevSecOps Specialist
United States
About XCIS AI
XCIS AI is a nuclear-focused data and AI consulting firm supporting plant operations, work management, data modernization, automation, and governed AI in highly regulated environments. We work at the intersection of nuclear operations, enterprise data platforms, AI-enabled decision support, and workflow modernization.
Work Authorization / Regulatory Note
Applicants must be authorized to work in the United States. Certain roles may require eligibility to support customer, export-control, security, or regulatory requirements.
Location
U.S.-based. Remote / hybrid, with periodic travel to customer or project locations as required.
Role Summary
We are hiring an Azure Cloud / DevSecOps Specialist to design, secure, and support Azure-hosted environments for governed AI, data, and workflow applications. This role will own cloud environment setup, private networking, CI/CD, identity and access controls, monitoring, and operational readiness.
Key Responsibilities
• Design and implement Azure environments for enterprise data, AI, and workflow solutions
• Configure private networking, identity and access controls, security controls, and environment separation
• Build and maintain CI/CD pipelines for infrastructure, data, applications, and AI components
• Implement logging, monitoring, alerting, backup, and recovery patterns
• Support environment hardening, access management, and deployment governance
• Work with engineering teams to ensure scalable and supportable cloud delivery
• Participate in architecture, security, and operational readiness activities
Required Qualifications
• 5+ years of experience in Azure cloud engineering, DevOps, DevSecOps, or platform operations
• Strong experience with Azure networking, IAM, Key Vault, monitoring, and cloud security practices
• Experience with CI/CD tools such as Azure DevOps, GitHub Actions, Terraform, or equivalent
• Experience supporting production environments and operational troubleshooting
• Strong understanding of environment isolation, auditability, and enterprise deployment controls
Preferred Qualifications
• Experience with Databricks, ADLS, Azure AI, API Management, or App Services
• Experience in regulated environments with strong security and traceability requirements
• Experience with infrastructure-as-code, secrets management, and environment compliance support
• Familiarity with export-control, controlled-cloud, or customer-hosted secure delivery models