Job Description
 Job Title: Senior DevSecOps / MLOps Engineer (AI/ML Platforms) – Contractor
Location: Remote
Duration: 06 Months
 
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)

 
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

 
Nice to Have: Terraform, policy-as-code, Microsoft Defender, secrets management (Key Vault), compliance frameworks 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 60.00/hr.