EMERGING TECHNOLOGY / CYBERSECURITY ENGINEER at Zermount, Inc. in Arlington, VA, USA
- Company: Zermount, Inc.
- Location: Arlington, VA, USA
- Posted: Sep 18, 2026
- Type: Full-time
- Experience: 5+ years
Overview
The Emerging Technology / Cybersecurity Engineer will support Zermount and our federal client in modernizing cybersecurity authorization, cloud security, security architecture review, and emerging technology assessment processes.
Job description
- The Emerging Technology / Cybersecurity Engineer will support Zermount and our federal client in modernizing cybersecurity authorization, cloud security, security architecture review, and emerging technology assessment processes.
- This is a senior, client-facing cybersecurity engineering and assessment role focused on helping the client securely adopt SaaS, AI-enabled technologies, cloud services, and other emerging capabilities. The position blends federal RMF and continuous ATO expertise, security architecture review, AI security testing, cloud compliance, control validation, and process modernization.
- The successful candidate will help reduce authorization timelines by developing reusable security patterns, repeatable assessment baselines, structured test plans, and continuous ATO-ready evidence. The ideal candidate has strong experience in federal cybersecurity, RMF, ATO, cloud security, security architecture, SaaS/product assessments, vulnerability management, emerging technology risk, and AI security
- This position requires a hands-on professional who can work across cybersecurity, engineering, procurement, legal, privacy, records management, vendor, product, and mission teams to evaluate technologies, validate controls, document risk, and accelerate secure adoption.
Responsibilities
- Security Architecture Review
- Conduct Security Architecture Reviews for SaaS, cloud, AI-enabled tools, non-COTS technologies, embedded AI capabilities, operating system baselines, and supporting infrastructure.
- Integrate architecture review activities with existing cybersecurity workflows, including ATO intake, security assessment, vulnerability scanning, cloud compliance, change management, and authorization decision support.
- Review system designs, data flows, identity models, access controls, logging approaches, network architecture, tenant isolation, administrative control structures, and security boundary assumptions.
- Develop security architecture patterns and reusable designs that enable faster assessments and ATO decisions by aligning solutions with federal security controls early in the lifecycle.
- Translate technical architecture findings into actionable risk statements, control recommendations, remediation plans, POA&Ms, and acceptance decision inputs.
- Emerging Technology Assessment and AI Security Testing
- Perform cybersecurity assessments of commercial SaaS products, non-COTS AI products, embedded AI components, cloud-hosted services, operating system baselines, and related technologies during intake and change events.
- Evaluate AI-specific threats and vulnerabilities, to include direct, indirect, and instruction smuggling prompt injection, jailbreak susceptibility, data leakage/sensitive data exposure, model poisoning, RAG/vector database exposure, unintended model behavior, tool or agent misuse, insecure plugin use, and unsafe browsing capabilities.
- Execute structured AI and emerging technology testing, including functional and accuracy testing, adversarial testing, data exfiltration probes, red-team scenarios, control regression testing, and validation of previously accepted security controls.
- Develop structured AI test cases, adversarial prompts, expected results, pass/fail criteria, scoring rubrics, and repeatable evaluation scripts aligned to NIST AI RMF, OWASP Top 10 for LLM/GenAI, MITRE ATLAS, client security baselines, and federal ATO acceptance criteria.
- Validate logging coverage, DLP efficacy, safety controls, accuracy thresholds, telemetry availability, and technical acceptance criteria prior to production use.
- Document findings, support remediation planning, and perform retesting to verify closure of identified security gaps.
- Engineering Controls and Implementation Support
- Design and support implementation of baseline security controls, including identity integration, RBAC, DLP, logging and telemetry, SIEM integration, network segmentation, tenant isolation, and feature-level security controls.
- Develop or contribute automation artifacts such as scripts, Infrastructure as Code snippets, configuration templates, security checklists, and deployment patterns.
- Configure, test, or validate vendor systems and internal deployments against approved baseline controls and client security requirements.
- Coordinate with commercial vendors, cloud teams, platform teams, product teams, and internal engineering teams to implement, test, and validate required security controls.
- Provide recommendations to disable or restrict high-risk capabilities such as public browsing, external plugins, unmanaged connectors, excessive permissions, unapproved data access, or other features that increase mission or data risk.
- Process, Baseline, and Knowledge Transfer
- Develop repeatable test plans, assessment checklists, intake procedures, triage workflows, pilot assessment templates, production readiness criteria, and operational runbooks.
- Create scalable baseline templates for Low, Moderate, and High-risk tiers with required controls, evidence expectations, test procedures, and acceptance criteria.
- Support development of reusable security patterns for SaaS, AI-enabled applications, cloud-hosted services, operating system baselines, and emerging technology deployments.
- Deliver knowledge transfer, training, and working sessions for client staff to operate and maintain security baselines, assessment processes, and test suites.
- Support continuous improvement of cybersecurity intake, assessment, authorization, monitoring, and remediation processes.
- Product and Stakeholder Support
- Engage with commercial vendors, procurement, legal, engineering, cybersecurity, privacy, records management, product, and mission teams to support technology intake, contracting, evidence collection, control validation, and remediation activities.
- Coordinate with vendor contacts and internal client stakeholders to obtain security documentation, clarify technical capabilities, validate control implementation, and resolve assessment findings.
- Provide regular status reporting, metrics, risk updates, testing results, and recommendations to support timely security acceptance and authorization decisions.
- Track assessment activities, findings, remediation actions, POA&Ms, retesting results, risk decisions, and authorization milestones through established client workflows.
- Participate in client meetings, technical working sessions, vendor discussions, security reviews, and authorization decision support activities.
- Prepare executive-level status reports, technical assessment summaries, testing reports, briefings, and recommendations to mitigate identified risks.
- Perform additional duties as required.
- Roadmap, Strategy, and Continuous ATO Support
- Provide Support the development and execution of cybersecurity authorization and compliance strategies designed to reduce ATO processing time and improve cloud compliance.
- Provide input into continuous ATO and continuous monitoring approaches, including evidence collection, automated control validation, risk triggers, POA&M visibility, and decision-ready reporting.
- Assist the Cybersecurity Division in designing compliance processes and systems that support continuous authorization and reduce manual processing delays.
- Plan and run controlled pilots using synthetic or de-identified data, where feasible, to validate technical, security, privacy, and operational readiness.
- Support development of roadmap recommendations, implementation priorities, metrics, and process improvements to advance secure adoption of SaaS, AI-enabled technologies, cloud services, and emerging capabilities.
Requirements
- 5+ years of cybersecurity, security architecture, cloud security, GRC, RMF, ATO, or federal compliance experience.
- Experience supporting federal cybersecurity programs, including RMF, ATO, security assessment, continuous monitoring, vulnerability management, or cloud compliance.
- Working knowledge of the NIST Risk Management Framework, NIST Cybersecurity Framework, NIST Special Publications, FISMA, FedRAMP, and federal security control expectations.
- Experience assessing SaaS, cloud services, commercial products, emerging technologies, or enterprise systems for security and compliance risk.
- Ability to review technical architectures, data flows, identity models, access controls, logging, network segmentation, tenant isolation, and security control implementation.
- Experience developing POA&Ms, risk statements, security recommendations, assessment reports, test plans, metrics, and executive-level status updates.
- Strong written and verbal communication skills, including the ability to brief technical risks and recommendations to cybersecurity, engineering, program, and executive stakeholders.
- Ability to coordinate across vendors, engineering teams, cybersecurity teams, procurement, legal, privacy, records management, and mission stakeholders.
- Bachelor of Science (or higher) in one of the following: Computer Science, Information Technology, Cybersecurity, Engineering, or equivalent.
- Years of experience may be considered in lieu of a degree.
- GIAC Certified Incident Handler (GCIH); Security+; Certified Information Security Manager (CISM), Certified in Governance of Enterprise IT (CGEIT); Certified Information Systems Security Professional (CISSP); Certified Information Security Auditor (CISA); Certified Cloud Security Professional (CCSP); AWS Certified Security Specialist; Microsoft Certified: Cybersecurity Architect Expert; Microsoft Azure Azure Security Engineer Associate; or another equal GIAC certification related to cloud, incident response, security engineering, or penetration testing.
- Experience assessing AI-enabled technologies, machine learning platforms, generative AI tools, RAG architectures, vector databases, AI agents, or commercial AI SaaS products.
- Knowledge of AI security risks, including prompt injection, jailbreaks, model misuse, data leakage, training data exposure, adversarial testing, tool/agent misuse, and AI governance.
- Experience with continuous ATO, ongoing authorization, automated evidence collection, cybersecurity authorization modernization, or continuous monitoring.
- Experience with cloud environments such as AWS, Azure, or Google Cloud Platform.
- Experience with DevSecOps, CI/CD security, Infrastructure as Code, container security, or cloud-native security controls.
- Experience integrating security telemetry into SIEM, SOAR, GRC, vulnerability management, or continuous monitoring platforms.
- Familiarity with security tools such as Splunk, Microsoft Sentinel, QRadar, Tenable, Security Hub, Defender, Prisma Cloud, ServiceNow, or similar platforms.
- Experience with AI/LLM evaluation, red-teaming, guardrail, or model-security testing tools such as Microsoft PyRIT, NVIDIA Garak, Promptfoo, DeepEval, OpenAI Evals, Azure AI Foundry Evaluation, Amazon Bedrock Guardrails, Google Vertex AI Evaluation, Lakera Guard, HiddenLayer, Protect AI ModelScan/Guardian, or equivalent tools.
- Experience developing reusable security baselines, control templates, architecture patterns, runbooks, assessment playbooks, and technical acceptance criteria.
Skills
Required
- Security architecture review
- Cloud and SaaS security assessment
- Federal cybersecurity and RMF expertise
- Vendor and stakeholder coordination