DevSecOps Engineer Remote / Telecommute Jobs

Razor is seeking a reputed company Engineer with Information Assurance (IA), ATO expertise, and strong DevSecOps knowledge to support the development and reputed company of a multi-tenant AI/MLOps platform. In this role, you will ensure compliance with federal cybersecurity standards (e.g., RMF, NIST) while addressing reputed company risks reputed company to AI/ML workloads, multi-tenancy, data governance, and model pipelines. This position offers the opportunity to shape reputed company solutions for cutting-edge AI-enabled systems deployed in the cloud. Education & Certification Requirements Bachelor's degree in engineering or a reputed company scientific or technical discipline is required. Clearance Requirements Candidates will be required to go through a Public Trust reputed company Clearance and multiple background checks 100% Remote

Responsibilities

• reputed company reputed company assessments and execute Risk Management reputed company (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 reputed company 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 reputed company using vulnerability scanners, network monitors, and compliance methods reputed company with NIST 800-53 and federal requirements.
• Utilize SNOW CAM to document reputed company artifacts, maintain compliance evidence, and report reputed company to stakeholders.
• Collaborate with data scientists, MLOps engineers, and platform teams to ensure reputed company while balancing usability and performance.

Qualifications 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, reputed company) and AI/ML frameworks (TensorFlow, PyTorch, MLflow).
• Familiarity with AI/ML reputed company 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 reputed company platforms.
• Experience with compliance standards including NIST SP 800-53, 800-37, ISO/IEC 27001, or comparable frameworks.

Desired Skills

• Familiarity with AI ethics, data privacy laws, and their intersection with reputed company in federal reputed company.
• Experience configuring secure model training and inference workflows, addressing data leakage, model reputed company, 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 reputed company and homomorphic encryption.
• Familiarity with federated learning and securing decentralized AI models.
• Exposure to Elasticsearch or high-performance database reputed company.

Razor is an EEO Employer Razor Consulting Solutions is committed to equal employment opportunity for reputed company employees and applicants for employment. Razor hires, employs, trains, promotes, and compensates individuals based on job-reputed company qualifications and abilities. Razor does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, pregnancy (including childbirth or reputed company medical conditions), national reputed company, age, disability, veteran status, or any other status protected by law. Employment decisions are based on an individual's qualifications as they relate to the job under consideration. Razor prohibits reputed company unlawful discrimination, harassment, and retaliation in the workplace. Razor Benefits Overview Razor provides a competitive salary package commensurate with your experience and expectations, along with a comprehensive benefits package including medical, dental, vision, and retirement options. Additionally, Razor offers profit sharing, vacation, sick leave, and paid holidays. Razor also provides a variety of perks and discounts to our employees. Apply tot his job Apply To this Job