System Engineer IV

Reflexive Concepts•Annapolis Junction, MD

About The Position

Reflexive Concepts is seeking a skilled Systems Engineer to join our team! Applies systems engineering principles throughout the systems life cycle phases (Concept, Development, Production, Utilization, Support, and Retirement) across the process areas defined by ISO/IEC 15288. Leads system architecture and integration, engages directly with customers and stakeholders, and communicates technical approaches across engineering, user, and program-management audiences.

Requirements

Bachelor's degree in a Qualified Engineering Field or related discipline plus ten (10) years of systems engineering experience; OR a High School Diploma/GED plus fourteen (14) years; OR a Master's degree plus eight (8) years; OR a PhD plus eight (8) years
System Architecture Leadership
Customer & Stakeholder Engagement
Technical Communication
TS/SCI with Full-Scope Polygraph clearance

Nice To Haves

Data Science/Analytics Architecture
IC Domain Expertise: SIGINT/RF analyst background, UTT processes, targeting workflows, multi-INT correlation tradecraft
AI/ML Systems Design
Java/Spring Boot familiarity (read code, collaborate with backend team)
Experience with integration platforms (NiFi, Camel, messaging systems)
GraphQL/REST API design experience
Understanding of data modeling trade-offs (relational vs search indices vs graph)

Responsibilities

Applies systems engineering principles throughout the systems life cycle phases (Concept, Development, Production, Utilization, Support, and Retirement) across the process areas defined by ISO/IEC 15288.
Leads system architecture and integration.
Engages directly with customers and stakeholders.
Communicates technical approaches across engineering, user, and program-management audiences.
Design integration patterns.
Define API contracts with partner systems.
Lead technical discussions in cross-program meetings.
Interface directly with users/analysts and partner programs.
Translate operational needs into technical requirements.
Present capabilities to stakeholders.
Document integration architecture.
Write customer-facing guides.
Brief technical approaches to mixed audiences (engineers, users, and PMs).
Define analytics requirements.
Design how analysts extract insights from multi-INT data.
Understand ML/AI feature possibilities.
Architect AI/ML feature integration (anomaly detection, recommendations, pattern recognition).
Collaborate with backend team on Java/Spring Boot.
Design GraphQL/REST APIs.
Understand data modeling trade-offs (relational vs search indices vs graph).