Cloud DevOps Engineer

Duration:
6+ months
Compensation:
$55-65/hr
Location:
100% REMOTE
We are seeking a Senior DevSecOps / MLOps Engineer to drive security, compliance, and governance best practices across our AI/ML platforms on Azure and Databricks. This role will focus on embedding security into CI/CD pipelines, Kubernetes environments, and ML workflows to ensure secure, scalable, and compliant model development and deployment.
Requirements:

• Strong experience with Azure DevOps, CI/CD, and DevSecOps practices
• Hands-on expertise with Kubernetes (AKS) security and Azure cloud security controls
• Experience securing AI/ML platforms (Azure ML, Databricks)
• Knowledge of identity and access management, networking, and vulnerability management

Responsibilities:

• Implement DevSecOps practices across CI/CD pipelines (Azure DevOps) for AI/ML workloads
• Secure Kubernetes (AKS) environments, including RBAC, network policies, and secrets management
• Integrate security scanning, vulnerability management, and compliance checks into pipelines
• Partner with Data Science, Platform, and Security teams to enforce secure MLOps practices
• Drive governance standards for data, models, and platform access (e.g., least privilege, auditability)

Nice to Have
: Terraform, Policy-as-Code (PaC), Microsoft Defender, Secrets Management (Key Vault), Compliance frameworks.

26-00423