LMI

Compensation

Full Description

Job Description: • Lead Risk Management Framework (RMF) activities for the LIGER deployment, including system categorization, control selection and tailoring, implementation, assessment, and continuous monitoring • Own and maintain authorization artifacts: System Security Plan (SSP), Security Assessment Plan (SAP), Security Assessment Report (SAR), Plan of Action and Milestones (POA&M), and supporting documentation aligned to DHS requirements • Coordinate directly with ISSOs, Authorizing Officials, and cyber working groups to advance ATO and continuous authorization activities • Interpret NIST 800-53 controls in the context of the LIGER platform and translate them into actionable engineering requirements • Run and review vulnerability scans across CI/CD pipelines and runtime environments, triage findings, and drive remediation through the engineering team • Validate secure configurations and hardening baselines (e.g., CIS Benchmarks, DISA STIGs) on containers, hosts, and cloud resources • Partner with platform engineers on cloud and container security in AWS GovCloud, including IAM, network controls, secrets management, logging, and runtime protection • Develop and maintain security policies, procedures, and standard operating procedures (SOPs) specific to LIGER on customer infrastructure • Track audit findings, remediation actions, and POA&M items to closure • Support FedRAMP-aligned control implementation and inheritance where applicable • Advise senior LIGER and leadership on system risk levels, control effectiveness, and emerging compliance considerations for AI/LLM systems in federal environments Requirements: • Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, or a related field • 5+ years of experience designing, implementing, and monitoring cybersecurity solutions in federal environments • 5+ years of hands-on RMF experience, including ATO development and continuous monitoring against NIST 800-53 • CISSP, CISM, or equivalent senior-level cybersecurity certification • Experience securing LLM, GenAI, or agentic AI systems, including data handling, prompt and tool-call risk, and model output controls • Strong working knowledge of cloud security, particularly AWS, with experience in GovCloud or similar high-compliance environments • Experience with vulnerability management workflows: scanning, triage, remediation tracking, and reporting • Experience hardening systems against secure baselines such as CIS Benchmarks or DISA STIGs • Familiarity with secure software development practices: secrets management, access control, auditability, and CI/CD pipeline security • Strong written communication skills, including the ability to produce ATO artifacts that hold up to assessor and AO review • Ability to translate compliance requirements into specific engineering work and partner closely with developers Benefits: • High Fringe/Full-Time