DevSecOps Engineer

Razor is seeking a Security Engineer with Information Assurance (IA), ATO expertise, and strong Dev Sec Ops  knowledge to support the development and security of a multi‑tenant AI/MLOps platform. In this role, you will ensure compliance with federal cybersecurity standards (e.g., RMF, NIST) while addressing security risks related to AI/ML workloads, multi‑tenancy, data governance, and model pipelines. This position offers the opportunity to shape security solutions for cutting‑edge AI‑enabled systems deployed in the cloud.

Bachelor's degree in engineering or a related scientific or technical discipline is required.

Candidates will be required to go through a Public Trust Security Clearance and multiple background checks.

100% Remote

• Perform security assessments and execute Risk Management Framework (RMF) processes for a highly multi‑tenant AI/MLOps platform, ensuring the system achieves and maintains Authorization to Operate (ATO).
• Identify risks associated with AI/ML models, data pipelines, and training workflows; recommend secure configurations and policies.
• Partner with Dev Ops and MLOps engineers to embed Dev Sec Ops  practices throughout the AI/ML lifecycle, including secure CI/CD pipelines for model training, deployment, and monitoring.
• Define and validate security measures for AI/ML model governance, including protections against poisoning, ensuring data privacy, and managing tenant isolation.
• Secure multi‑tenant cloud environments by implementing workload segmentation, least privilege, and effective identity and access management (IAM) for tenants.
• Use tools such as Prisma Cloud and Twistlock to secure containerized workloads, and collaborate with development teams to remediate vulnerabilities in AI models, libraries, and frameworks.
• Monitor and test platform security using vulnerability scanners, network monitors, and compliance methods aligned with NIST 800‑53 and federal requirements.
• Utilize SNOW CAM to document security artifacts, maintain compliance evidence, and report progress to stakeholders.
• Collaborate with data scientists, MLOps engineers, and platform teams to ensure security while balancing usability and performance.

• 12+ years total IT Dev Sec Ops  experience
• 3+ years of cybersecurity experience performing A&A processes and applying NIST RMF requirements to cloud‑native environments.
• 3+ years experience securing or working with multi‑tenant systems, preferably AI/ML platforms or data‑intensive applications.
• Experience with containerized environments (Kubernetes, Docker) and AI/ML frameworks (Tensor Flow, PyTorch, MLflow).
• Familiarity with AI/ML security challenges including data provenance, adversarial attacks, and secure model deployment.
• Knowledge of tenant isolation techniques including network segmentation, user/group roles, and identity federation.
• Hands‑on experience implementing Dev Sec Ops  pipelines using IaC tools (Terraform, Ansible) and scripting languages (Python, Bash).
• Working knowledge of AWS Gov Cloud, Azure Government, or other compliance‑focused cloud regions.
• Expertise using vulnerability scanning and remediation tools such as Nessus, OWASP ZAP, or cloud‑based security platforms.
• Experience with compliance standards including NIST SP 800‑53, 800‑37, ISO/IEC 27001, or comparable frameworks.

• Familiarity with AI ethics, data privacy laws, and their intersection with security in federal contracts.
• Experience configuring secure model training and inference workflows, addressing data leakage, model drift, and adversarial ML threats.
• Knowledge of trusted AI principles, model poisoning mitigations, and techniques to prevent data reconstruction attacks.
• Hands‑on knowledge of encryption methods for AI/ML data at rest and in transit, including data lake security and homomorphic encryption.
• Familiarity with federated learning and securing decentralized AI models.
• Exposure to Elasticsearch or high‑performance database security.

Razor is an EEO Employer. Razor Consulting Solutions is committed to equal employment opportunity for all employees and applicants for employment. Razor hires,…