Case Management Engineer; TS​/SCI CI Poly

Overview

Reston, VA

GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations make better decisions and minimize risk. By taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation’s top organizations, such as Fortune 500 companies and U.S. government agencies, to identify threats, optimize resources and integrate best-fit solutions that mitigate risk.

This role requires someone working onsite in DC/Reston/Quantic/College Park. A TS/SCI CI Poly is required.

• Architect and implement the backend foundation of a next-generation case management platform.
• Focus on backend systems design, data architecture, integration engineering, and workflow enablement to provide a scalable, extensible system-of-record for security programs.
• Collaborate with program architects to design backend infrastructure, including data models, storage layers, metadata standards, and service orchestration.
• Establish engineering standards for API design, data handling, security, error management, and auditability.
• Design and implement high-performance APIs, microservices, and system components to support case lifecycle workflows.
• Build foundational taxonomy and object models for cases, entities, evidence, workflows, and automation triggers.
• Drive platform scalability, reliability, and performance through best-practice engineering patterns.
• Develop backend integrations between the case management platform and security tools (e.g., SIEM, EDR, vulnerability management platforms, threat intelligence sources, identity systems, ITSM/ticketing platforms).
• Build and maintain API services, event pipelines, data ingestion jobs, and synchronization services.
• Implement automated backend workflows to support case routing, enrichment, evidence linkage, and cross-platform data federation.
• Ensure the platform adheres to industry security practices, including authentication, authorization, and secure data transmission.
• Maintain documentation including backend architecture diagrams, schema definitions, integration specs, and operational runbooks.
• Collaborate with frontend teams, product owners, and platform architects to ensure cohesive end-to-end system design.

• 5+ years of backend engineering or platform engineering experience.
• Strong proficiency in backend languages (e.g., Python, Java, Go, Node.js).
• Demonstrated experience architecting or integrating with workflow, case/ticketing, or automation platforms (e.g., Service Now, Jira, The Hive, custom-built systems).
• Deep experience designing APIs (REST, Graph
  
  QL) and event-driven systems.
• Strong skills in integrating complex systems using APIs, message queues, streaming platforms, and ETL pipelines.
• Solid knowledge of security engineering concepts, secure coding standards, and platform hardening for highly regulated environments (e.g. DoD, Energy, Finance).
• Active TS/SCI clearance; willingness to take a polygraph exam
• Associate’s degree and 5+ years of experience supporting IT projects and activities, Bachelor’s degree and 3+ years of experience supporting IT projects and activities, or Master’s degree and 1+ year of experience supporting IT projects and activities. Years of experience may be accepted in lieu of degree.
• DoD 8570.01-M Information Assurance Technician (IAT) Level II Certification, including Security+ CE, CCNA-Security, GSEC, SSCP, CySA+, GICSP, or CND Certification
• Ability to obtain a DoD 8570.01-M Cybersecurity Service Provider - Infrastructure Support Certification, including CEH, CHFI, CFR, Cloud+, or CND certification within 30 days of start date

• Strong architectural and system design capabilities
• Ability to translate platform requirements into scalable backend implementations
• Strong attention to detail with a focus on reliability and maintainability
• Excellent communication and cross-functional collaboration
• Database expertise (SQL and No
  
  SQL), schema design, and performance optimization
• Exposure to cloud-native architecture in AWS, GCP, or Azure
• Familiarity with data modeling for security or operational systems

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