Senior DevSecOps / MLOps Engineer (AI/ML Platforms)
DevOps
DevOps
Hyattsville , Maryland Contract Apr 15, 2026
Senior DevSecOps / MLOps Engineer (AI/ML Platforms)
Location: Hyattsville, MD
Duration: 6-month contract
Pay: $64.00 hourly
JOB DESCRIPTION
Our Retail client with over $80B in annual revenue has over 2,000 stores, across 21 US states, with over 400,000 employees. This company is a leader in sustainable retailing with a passion for delivering excellence. By driving omni channel growth, efficiency in the shopping experience and continuing to develop with new technologies; this company is growing and developing continuing success. The leadership team strives for work-life balance for all its employees, with options for overtime if desired.
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.
RESPONSIBILITIES
NICE TO HAVE
Location: Hyattsville, MD
Duration: 6-month contract
Pay: $64.00 hourly
JOB DESCRIPTION
Our Retail client with over $80B in annual revenue has over 2,000 stores, across 21 US states, with over 400,000 employees. This company is a leader in sustainable retailing with a passion for delivering excellence. By driving omni channel growth, efficiency in the shopping experience and continuing to develop with new technologies; this company is growing and developing continuing success. The leadership team strives for work-life balance for all its employees, with options for overtime if desired.
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.
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)
- 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
Category Code: JN008
#LI-LB1
#LI-LB1