Job Title: Senior DevSecOps / MLOps Engineer
Location: 100% Remote
Job Description
We are seeking a to drive security, compliance, and governance best practices across AI/ML platforms on Azure and Databricks. This role focuses on embedding security into CI/CD pipelines, Kubernetes environments, and ML workflows to ensure secure, scalable, and compliant model development and deployment.
Required Qualifications
- Strong experience with Azure DevOps, CI/CD, and DevSecOps practices
- Hands-on expertise with Kubernetes (AKS) security
- Experience with Azure cloud security controls
- Experience securing AI/ML platforms (Azure ML, Databricks)
- Knowledge of IAM, networking, and vulnerability management
- Strong understanding of security governance and compliance
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 (least privilege, auditability)
Looking forward to working with you
Thanks & Regards,
Harshith Reddy
