Cloud DevOps Engineer

Duration: 6+ monthsCompensation: $55-65/hrLocation: 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 practicesHands-on expertise with Kubernetes (AKS) security and Azure cloud security controlsExperience securing AI/ML platforms (Azure ML, Databricks)Knowledge of identity and access management, networking, and vulnerability managementResponsibilities:Implement DevSecOps practices across CI/CD pipelines (Azure DevOps) for AI/ML workloadsSecure Kubernetes (AKS) environments, including RBAC, network policies, and secrets managementIntegrate security scanning, vulnerability management, and compliance checks into pipelinesPartner with Data Science, Platform, and Security teams to enforce secure MLOps practicesDrive 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