Case Management Engineer

Location: US
Job ID: ATR 17780
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Job Description

Job Title: Case Management Engineer

Location: Washington D.C.

Eligibility: Candidate must possess an active TS/SCI with CI Polygraph
clearance

Job Description:

We are looking for a Backend Security Engineering Case Management
Engineer to architect and implement the backend foundation of our
next-generation case management platform. This role is focused on
backend systems design, data architecture, integration engineering, and
workflow enablement, ensuring the platform serves as a scalable,
extensible system-of-record for security programs. Responsibilities
include collaborating with program architects to design the backend
infrastructure for a modern security case management solution, including
data models, storage layers, metadata standards, and service
orchestration. Establishing engineering standards for API design, data
handling, security, error management, and auditability. Designing and
implement high-performance APIs, microservices, and system components
that support case lifecycle workflows. Building the foundational
taxonomy and object models for cases, entities, evidence, workflows, and
automation triggers. Driving platform scalability, reliability, and
performance through best-practice engineering patterns. Developing
backend integrations between the case management platform and security
tools such as SIEM, EDR, vulnerability management platforms, threat
intelligence sources, identity systems, and ticketing/ITSM platforms.
Building and maintaining API services, event pipelines, data ingestion
jobs, and synchronization services. Implementing automated backend
workflows to support case routing, enrichment, evidence linkage, and
cross-platform data federation. Ensuring the platform adheres to
industry security practices, including

authentication, authorization, and secure data transmission. Maintaining
documentation including backend architecture diagrams, schema
definitions, integration specs, and operational runbooks. Collaborating
with frontend teams, product owners, and platform architects to ensure
cohesive end-to-end system design.

Basic Qualifications:

· 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., ServiceNow, Jira,
TheHive, custom-built systems).

· Deep experience designing APIs (REST, GraphQL) 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

Additional Qualifications:

· 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 NoSQL), 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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