RAZOR · 17 hours ago
DevSecOps Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
$150K/yr - $150K/yr
12+ years expRazor is seeking a Security Engineer with expertise in Information Assurance and DevSecOps to support the development and security of a multi-tenant AI/MLOps platform. The role involves ensuring compliance with federal cybersecurity standards while addressing security risks related to AI/ML workloads and collaborating with various engineering teams.
ConsultingHuman ResourcesManagement ConsultingStaffing Agency
No H1B
Security Clearance Required
Responsibilities
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 DevOps and MLOps engineers to embed DevSecOps 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
Qualification
Required
Bachelor's degree in engineering or a related scientific or technical discipline is required
12+ years total IT DevSecOps 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 (TensorFlow, 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 DevSecOps pipelines using IaC tools (Terraform, Ansible) and scripting languages (Python, Bash)
Working knowledge of AWS GovCloud, 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
Preferred
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
Benefits
Medical
Dental
Vision
Retirement options
Profit sharing
Vacation
Sick leave
Paid holidays
A variety of perks and discounts
Company
RAZOR
RAZOR is a management and technology consulting firm for commercial and government organizations.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Jessica King
CEO
Company data provided by crunchbase