Only W2 / 1099 Contract | Senior DevSecOps / MLOps Engineer (AI/ML Platforms) | Remote (EST Hours)
Posted Today by Anagha Techno Soft
Negotiable
Undetermined
Remote
Remote
Summary: We are looking for a Senior DevSecOps / MLOps Engineer to spearhead security and compliance initiatives within AI/ML platforms. The role emphasizes integrating security best practices into CI/CD pipelines and Kubernetes environments to ensure secure model development and deployment. This position is fully remote but requires availability during EST hours. Candidates should have over 10 years of experience in relevant fields.
Key Responsibilities:
- Implement and enhance 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 deployment pipelines
- Collaborate with Data Science, Platform Engineering, and Security teams to enforce secure MLOps practices
- Establish and maintain governance standards for data, models, and platform access (e.g., least privilege, auditability)
Key Skills:
- Strong experience with Azure DevOps, CI/CD pipelines, and DevSecOps practices
- Hands-on expertise in Kubernetes (AKS) security and Azure cloud security controls
- Experience securing AI/ML platforms (Azure ML, Databricks)
- Solid understanding of identity & access management (IAM), networking, and vulnerability management
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Senior DevSecOps / MLOps Engineer (AI/ML Platforms) Contract | Remote (EST Hours)
Location: 100% Remote (Must be available during EST hours)
Duration: Contract (W2/ 1099)
Experience Required: 10+ Years
Duration: Contract (W2/ 1099)
Experience Required: 10+ Years
Job Overview
We are seeking a highly skilled Senior DevSecOps / MLOps Engineer to lead security, compliance, and governance initiatives across AI/ML platforms. This role focuses on embedding security best practices into CI/CD pipelines, Kubernetes environments, and machine learning workflows to ensure secure, scalable, and compliant model development and deployment.
Key Responsibilities
- Implement and enhance 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 deployment pipelines
- Collaborate with Data Science, Platform Engineering, and Security teams to enforce secure MLOps practices
- Establish and maintain governance standards for data, models, and platform access (e.g., least privilege, auditability)
Required Skills
- Strong experience with Azure DevOps, CI/CD pipelines, and DevSecOps practices
- Hands-on expertise in Kubernetes (AKS) security and Azure cloud security controls
- Experience securing AI/ML platforms (Azure ML, Databricks)
- Solid understanding of identity & access management (IAM), networking, and vulnerability management
Nice to Have
- Experience with Terraform / Infrastructure as Code
- Knowledge of policy-as-code frameworks
- Familiarity with Microsoft Defender and cloud security tools
- Experience with secrets management solutions (e.g., Azure Key Vault)
- Understanding of compliance frameworks and governance models
Why Join?
- Opportunity to work on cutting-edge AI/ML platforms
- Fully remote flexibility with high-impact work
- Collaborative and innovation-driven environment