Cloud DevOps Engineer
The Brixton Group, Inc., New York, NY, United States
Duration:
6+ months
Compensation:
$55-65/hr
Location:
100% REMOTE
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.
Requirements:
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
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)
Nice to Have : Terraform, Policy-as-Code (PaC), Microsoft Defender, Secrets Management (Key Vault), Compliance frameworks.
26-00423
6+ months
Compensation:
$55-65/hr
Location:
100% REMOTE
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.
Requirements:
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
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)
Nice to Have : Terraform, Policy-as-Code (PaC), Microsoft Defender, Secrets Management (Key Vault), Compliance frameworks.
26-00423