Seeking a Senior DevSecOps/MLOps Engineer to implement security, compliance, and governance for AI/ML platforms on Azure and Databricks. This role focuses on embedding security into CI/CD pipelines, Kubernetes, and ML workflows for secure and scalable model development and deployment. Key responsibilities include securing AKS environments, integrating security scanning, and driving governance standards for data and platform access.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Duration: 6+ Months
Location: 100% Remote
Responsibilities/Requirements:
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.
Key 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)
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Required Skills:
- 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
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Nice to Have: Terraform, policy-as-code, Microsoft Defender, secrets management (Key Vault), compliance frameworks
26-00423
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