Cloud DevOps Engineer III

Job Description Senior DevSecOps / MLOps Engineer (AI/ML Platforms) Contractor

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

Why TalentBurst?

At TalentBurst, we deliver more than talent, we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth.

Backed by precision, transparency, and results, we connect top talent with leading organizations through trusted partnerships.

We offer competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options.

TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce.