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# TS/SCI Systems Engineer

- **Company:** Insight Global
- **Location:** San Antonio, TX, United States
- **Experience:** Expert
- **Salary:** $93,600.0 - $116,480.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Systems Engineering, Computer Programming, Computer Engineering, Systems Integration, Scripting, System-level Testing, Information Technology
- **Published:** August 5, 2026
- **Apply:** https://jobs.insightglobal.com/jobs/find_a_job/texas/san-antonio/ts-sci-systems-engineer/job-544419/

## About the Role

Active Top Secret (TS) Clearance

 - Bachelor's degree in Computer Science, Computer Engineering, or related field (or equivalent experience)
 - 5+ years of experience in a technical engineering role
Strong ability to collaborate across teams and integrate with external organizations

 - Experience with Agile methodologies
 - Proficiency in multiple programming or scripting languages
 - Experience supporting automation, monitoring, or deployment improvements

## Description

Provide systems engineering support across a COMSEC-focused Air Force program, including evaluating program portfolios, maintaining technical baselines, and ensuring system and subsystem performance aligns with mission and specification requirements.

 - Review and assess system designs, test plans, and proposed solutions while supporting system-level testing, validation efforts, and performance analysis to ensure operational effectiveness.
 - Develop and deliver technical documentation, reports, and briefings to support program planning, execution, and decision-making, incorporating engineering and cost-analysis principles.
 - Support the full system lifecycle-including acquisition, integration, deployment, sustainment, and operations-while delivering technical guidance and collaborating closely with cross-functional teams and government stakeholders.
 - Contribute to program risk management activities in alignment with Air Force SEAM processes, including identifying gaps, performing trade-off analyses, and supporting data-driven decision-making (e.g., MODA, cost vs. capability).
 - Apply modern engineering practices to improve program visibility, system integration, and lifecycle management.


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