Lead and support systems integration/engineering across multiple enterprise domains including: cloud services, software service platforms, DevSecOps, data management, model-based systems engineering (MBSE), and enterprise governance
Work collaboratively across organizations and system boundaries to design, document, validate, and deliver architectures and ground capabilities in support of the national space architecture
Conduct architecture definition, requirements gathering, derivation, and allocation
Develop performance metrics, test cases, and trace requirements to closure
Provide traditional systems integration and engineering support such as schedule management, risk management, configuration management, and test/validation support
Translate formal requirements into user stories and statements of work for agile teams
Facilitate Agile-based program management and implementation of MBSE practices
Engage with national and tactical intelligence communities to capture and integrate end-user and stakeholder needs
Requirements
Entry-Level: 0–3 years of experience with a Bachelor’s in Management Information Systems, Computer Science, Engineering, or related field OR 7 years with a High School Diploma/GED OR 5 years with an Associate degree
Intermediate-Level: 4–7 years of experience with a Master’s in a related field OR 10 years with a High School Diploma/GED OR 8 years with an Associate degree OR 6 years with a Bachelor’s degree
Senior-Level: 8+ years of experience with a Doctorate in a related field OR 16 years with a High School Diploma/GED OR 14 years with an Associate degree OR 12 years with a Bachelor’s degree OR 10 years with a Master’s degree AND Active Top Secret/SCI clearance with a Counter-Intelligence Polygraph (preferrably with this client)
Demonstrated systems intergration and engineering expertise supporting interrelated systems acquisitions greater than $50M
Experience supporting architecture definition, requirements allocation, test planning, performance metric design, and requirement closure
Proficiency in systems engineering disciplines such as risk, requirements, configuration, schedule management, or testing