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What are the key skills and qualifications needed to thrive in emerging tech roles?

To thrive in Emerging Tech, you need a strong background in computer science, data analysis, and a keen understanding of current and developing technologies, often supported by relevant degrees or certifications. Familiarity with programming languages, cloud platforms, machine learning frameworks, and cutting-edge tools like AI, blockchain, or IoT systems is typically required. Creativity, adaptability, and strong problem-solving skills help professionals excel in rapidly evolving environments. These skills are crucial for driving innovation, staying ahead of industry trends, and effectively implementing transformative technologies.

How do professionals in emerging tech roles stay current with technological advancements and industry trends?

Professionals working in Emerging Tech often dedicate time each week to continuous learning, such as attending webinars, participating in industry conferences, and engaging with online tech communities. It's common to collaborate with cross-functional teams and attend knowledge-sharing sessions to stay updated on the latest innovations and best practices. Many companies also encourage employees to pursue certifications and provide access to research resources. Staying proactive in learning is essential, as the landscape evolves quickly and adaptability is key to long-term success in these roles.

What is an emerging tech professional?

An Emerging Tech professional is someone who specializes in identifying, developing, and implementing new and innovative technologies that have the potential to significantly impact industries and society. They often work with areas such as artificial intelligence, blockchain, quantum computing, augmented reality, and more. These professionals help organizations stay ahead of technological trends, evaluate the potential of new tools, and integrate them into business strategies. Their work is crucial for driving innovation and maintaining competitiveness in a rapidly evolving digital landscape.

What is the difference between Emerging Tech vs Data Analyst?

AspectEmerging TechData Analyst
Required CredentialsRelevant certifications in new technologies, coding, and data toolsDegree in data science, statistics, or related field; certifications like SQL or Tableau
Work EnvironmentTech startups, innovation labs, R&D teamsCorporate offices, consulting firms, finance, healthcare
Industry UsageDeveloping new solutions, prototypes, pilot projectsAnalyzing data, generating reports, supporting decision-making

Emerging Tech professionals focus on developing and implementing new technologies, often working in innovative environments. Data Analysts interpret existing data to inform business decisions. While both roles require technical skills, Emerging Tech roles emphasize innovation and development, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Emerging Tech jobs in Virginia? For Emerging Tech jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Emerging Tech jobs in Virginia look for? The top searched job categories for Emerging Tech jobs in Virginia are:
What cities in Virginia are hiring for Emerging Tech jobs? Cities in Virginia with the most Emerging Tech job openings:
Emerging Tech jobs near you
Infographic showing various Emerging Tech job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 13% Part Time, 13% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

EMERGING TECHNOLOGY / CYBERSECURITY ENGINEER

Hiring Our Heroes

Arlington, VA • On-site

Full-time

Re-posted 18 days ago

Job description

EMERGING TECHNOLOGY / CYBERSECURITY ENGINEER
MILITARY FRIENDLY & PREFERRED - HOH SPONSOR
Position 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.
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.
Duties & 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.

Qualifications
Minimum 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.

Preferred Qualifications:
  • 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.

Competencies
  • Security architecture review
  • AI and emerging technology risk assessment
  • Cloud and SaaS security assessment
  • Continuous ATO and compliance modernization
  • Control validation and evidence collection
  • Federal cybersecurity and RMF expertise
  • POA&M development and remediation tracking
  • Security testing and adversarial assessment
  • Vendor and stakeholder coordination
  • Executive-level reporting and recommendations
  • Process development, baselining, and knowledge transfer

Education
  • 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.

Certifications
At least one of the following certifications is required:
  • 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.

Clearance Level
  • Public Trust, but an active Secret Clearance is preferred.

Work Location
  • Primary location(s) are Arlington and Alexandria VA. Remote work is authorized, but the employee may have to report to one of the primary sites occasionally or as requested by management or the client.

Hours of Operation
  • 6:00 am ET - 6:00 pm ET

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