Peraton

Systems Engineer

• Lead a team of architects developing and designing mission-relevant cyber and AI solutions for Department of War and Intelligence Community customers
• Work with capture leaders, sector CTOs, Peraton Labs, delivery accounts, and mission SMEs to translate cyber operational understanding into agentic-AI-enabled solutions
• Analyze capability gaps, technology readiness and trends, competitive positioning, and federal AI/cyber policy to evolve agentic cyber AI offerings
• Build relationships with OEMs, technology partners, and Peraton Labs to incorporate differentiated capabilities into solutions
• Translate Peraton Labs research and development into deployable offerings
• Design innovative, cost-competitive solutions across AI-enabled and automated cyber operations and defense, SOC modernization, and threat hunting
• Lead, mentor, and grow Solutions Architects from mid-level through principal
• Assign architects based on complexity, domain fit, and development needs
• Establish AI-driven solutioning practices, templates, artifact standards, and reuse libraries

Senior Director – Cyber, AI Lead Systems Architect

Graphics Designer

• Join Peraton’s proposal professionals supporting business development opportunities for major U.S. Federal agencies
• Work with solution architects, technical experts, business development executives, and writers to create imagery for RFIs, white papers, and proposals
• Create cover art, oral presentations, posters, CD/DVD labels, infographics, network schematics, and other graphics
• Work onsite according to proposal team scheduling requirements
• Travel and work out of Northern Virginia offices and Annapolis Junction as needed

Graphic Designer

Background Investigator

• Complete full-time 6–7 week new Investigator training to become certified in the Federal Investigative Standards
• Conduct daily travel for in-person background investigations determining employment suitability for individuals requiring access to sensitive or classified U.S. Government information
• Schedule and conduct face-to-face interviews with subjects, neighbors, employers, friends, and family
• Perform record searches at police agencies, courthouses, educational and financial institutions, and medical/mental health facilities
• Type and report obtained information clearly and concisely in a government-issued computer system
• Work independently as part of a team of Investigators and with a Field Manager

• Complete full-time 6–7 week new Investigator training virtually and in person
• Conduct in-person background investigations to determine employment suitability for people requiring access to sensitive or classified U.S. Government information
• Travel daily while conducting investigations
• Schedule and conduct face-to-face interviews with subjects, neighbors, employers, friends, and family
• Perform record searches at police agencies, courthouses, educational and financial institutions, and medical/mental health facilities
• Type and report obtained information clearly and concisely using a government-issued computer system
• Work independently as part of an investigator team and with a Field Manager

• Complete 6–7 weeks of full-time new Investigator training to become certified in Federal Investigative Standards
• Conduct daily travel for in-person federal background investigations
• Determine employment suitability of individuals requiring access to sensitive or classified U.S. Government information
• Schedule and conduct face-to-face interviews with subjects, neighbors, employers, friends, and family
• Perform record searches at police agencies, courthouses, educational and financial institutions, and medical/mental health facilities
• Type and report information clearly and concisely in a government computer system
• Work independently while collaborating with a team of Investigators and a Field Manager

• Complete full-time 6–7 week new Investigator training virtually and in person
• Conduct in-person federal background investigations to determine employment suitability for individuals requiring access to sensitive or classified U.S. Government information
• Travel daily while conducting investigations
• Schedule and conduct face-to-face interviews with subjects, neighbors, employers, friends, and family
• Perform record searches at police agencies, courthouses, educational and financial institutions, and medical/mental health facilities
• Type and report all obtained information clearly and concisely using a government-issued computer system
• Work independently while collaborating with a team of Investigators and a Field Manager

Security Engineer

• Own and maintain the written compliance posture of the Agentic AI platform
• Author, update, and evolve System Security Plans and related compliance artifacts supporting ATO and assessment efforts
• Develop additional SSPs and associated documentation for expanding authorization needs
• Build, organize, and maintain a security policy and SOP library aligned to relevant control frameworks
• Manage POA&Ms, document gaps, track remediation progress, and maintain visibility into open items
• Coordinate and run evidence collection cycles for internal reviews, external assessments, and audits
• Serve as the primary compliance point of contact for auditors, external assessors, and compliance stakeholders
• Partner with platform, cloud, and security engineers to validate documented control narratives against implemented infrastructure and operational practices
• Review architecture diagrams, infrastructure-as-code, technical diagrams, and engineering documentation for compliance accuracy
• Ensure consistency, traceability, and quality across compliance documentation and supporting artifacts
• Identify documentation gaps, policy inconsistencies, and control narrative issues and drive resolution
• Support repeatable compliance processes that strengthen audit readiness

Cyber Security Engineer

DevOps Engineer

• Lead infrastructure-level disaster recovery drill execution
• Validate platform rebuild procedures and disaster recovery playbooks
• Execute infrastructure-level drills to ensure the platform can be fully rebuilt within the 48-hour recovery target
• Verify end-to-end data completeness, integrity, and accuracy during drill exercises
• Document drill results and remediation recommendations
• Identify exit-readiness gaps across infrastructure, deployment automation, monitoring, and data recovery processes
• Drive corrective actions with engineering teams
• Design, implement, and support automated IaC workflows using Terraform, AWS CloudFormation, and standardized CI/CD pipelines
• Manage and optimize Kubernetes clusters and Docker containerized workloads, including provisioning, scaling, and reliability improvements
• Build and maintain observability solutions using CloudWatch, Datadog, and other monitoring and alerting tools
• Develop automation, tooling, and scripts using Python or Java
• Collaborate with platform engineering, security, applications, and data teams to maintain secure and compliant platform operations
• Participate in on-call rotations, root cause analyses, and incident response activities

Lead Site Reliability Engineer

Data Engineer

• Build, test, and maintain data ingestion, transformation, and pipeline code
• Turn raw and synthetic data into governed, analysis-ready data products
• Extend the platform following the architecture, patterns, and standards set by the lead platform engineer
• Contribute to infrastructure-as-code using Terraform and CI/CD pipelines promoting work into the accredited production environment
• Monitor data quality, pipeline reliability, and performance
• Troubleshoot and resolve issues
• Apply data governance, cataloging, and access-control practices
• Support the data science and ML team with governed datasets and tooling
• Operate within FedRAMP Moderate, NIST 800-171, and CUI constraints
• Collaborate closely with the engineering team
• Maintain clear documentation of pipelines and processes

Senior Data Platform Engineer

Cloud Engineer

• Lead cloud architecture design and delivery for the POC phase, deploying and validating a parallel Facets environment on CMS AWS
• Develop cloud architecture specifications supporting POC validation, including the 95% claims match rate target and Tier 1 integration demonstrations
• Design, implement, and optimize cloud infrastructure using AWS best practices and the AWS Well‑Architected Framework
• Manage provisioning, configuration, and operational readiness to meet CMS AWS security, scalability, resiliency, and performance requirements
• Collaborate with application teams, data teams, security, and CMS stakeholders to integrate legacy components into the modernized environment
• Oversee technical delivery, task planning, issue and risk management, and coordination across multidisciplinary technical teams
• Provide technical leadership, mentorship, and architectural guidance throughout POC execution
• Produce architectural artifacts, diagrams, design documents, and cloud implementation plans aligned with CMS standards and enterprise architecture guidance
• Support compliance activities, including security plans, control documentation, authorization support, and federal/CMS cloud security requirements
• Evaluate new cloud services, automation opportunities, and modernization strategies for CMS AWS environments

Lead Associate, AWS Cloud Computing

Architect

• Support the Technical Architect SME in system architecture design, integration planning, and technical decision documentation
• Lead the design and documentation of source-to-target mapping specifications for ETL pipeline development
• Design application integration architecture for federal species data, including API endpoint specifications, data access patterns, and decision logic integration points
• Develop and maintain technical architecture documentation, including integration diagrams, data flow diagrams, and API specifications
• Lead interoperability testing architecture design, defining test coverage for API connectivity, authentication, data exchange protocols, metadata alignment, and end-to-end data flow
• Support development of the production migration runbook, documenting technical cutover steps, validation checks, deployment sequences, and rollback procedures
• Conduct technical review of all code and pipeline deployments, enforcing peer review requirements
• Support technical compliance validation, including decision logic correctness and consultation routing accuracy
• Support a federal data migration program integrating marine and anadromous species data into the existing FWS platform

Senior Technical Specialist, Architect

Software Engineer

• Design and develop business functionalities using MuleSoft, CRM, and CX technologies
• Understand business requirements, perform impact analysis, and assess technical feasibility
• Work with stakeholders to design, develop, document, and implement MuleSoft platform solutions and API development standards
• Identify project risks and pain points and develop and implement mitigation measures
• Work with system architects and support team members to address security and compliance requirements, including Section 508 and FISMA, for MuleSoft and Salesforce platform sandbox and development environments
• Support the Department of State Consular Systems Modernization Program for the Bureau of Diplomatic Technology

MuleSoft Developer

Data Scientist

• Build and curate the knowledge base for a generative AI/ML research effort
• Develop data and knowledge extraction pipelines for machine learning models
• Extract, structure, and validate design knowledge into knowledge graphs and ontologies
• Engineer metadata, annotation, and provenance for program datasets
• Analyze results, laboratory measurements, and simulation output to produce actionable findings
• Design, build, populate, and maintain research knowledge bases under version control with provenance tracking
• Develop rule-based, statistical, and ML-assisted pipelines that convert unstructured and semi-structured sources into structured, queryable knowledge
• Establish quality metrics and validation procedures for extracted content
• Engineer metadata, annotation schemas, and packaging for synthetic, simulated, and real datasets
• Perform exploratory and inferential analysis on training data, simulation output, and evaluation results
• Build dashboards and reports showing where generated waveforms succeed or fail against objectives
• Feed findings back to AI model researchers and engineers
• Contribute data and analysis sections to design reviews, monthly status reports, and dataset documentation
• Coordinate with academic subcontractors on shared data and knowledge resources

Research Scientist

• Lead or collaborate with research scientists to design, prototype, test, and demonstrate autonomous systems solutions
• Define research programs and develop innovative concepts and approaches for autonomous systems problems
• Provide direction and vision for the research team
• Articulate research directions that solve a broad range of customer problems
• Interact with customers to understand needs
• Pitch new ideas and present research results to new and existing customers
• Develop proposals addressing customer needs
• Provide leadership for executing research programs
• Delve deeply into relevant technologies and lead development and delivery of prototype solutions
• Design and prototype software to demonstrate technical concepts
• Design, integrate, and demonstrate AI application solutions
• Continuously learn new concepts and innovate with a technically diverse team

Principal Research Scientist – Autonomous Systems

• Conduct applied research on AI/ML-driven analytics using cutting edge machine learning and optimization techniques to expedite high-fidelity modeling and simulations
• Design and implement prototypes that operationalize research into usable capabilities
• Work with teammates to translate customer needs into technical approaches, balancing novelty with feasibility and deployability
• Produce high-quality technical documentation, briefings and presentations, and contribute to reports, proposals, whitepapers, and publications
• Maintain strong system hygiene: Linux-based development, version control, containers, reproducibility, and clean software practices
• Learn and integrate new tools/technologies quickly to keep pace with evolving customer needs and emerging research
• Investigate challenging problems, develop optimization and AI/ML-based solutions and software prototypes, and demonstrate performance through hands-on evaluations

Senior Director – Cyber, AI Lead Systems Architect

Graphic Designer

Background Investigator

Background Investigator

Background Investigator

Background Investigator

Cyber Security Engineer

Lead Site Reliability Engineer

Senior Data Platform Engineer

Lead Associate, AWS Cloud Computing

Senior Technical Specialist, Architect

MuleSoft Developer

Data Scientist

Principal Research Scientist – Autonomous Systems

AI/ML Research Scientist