Principal Systems Engineer - TS​/SCI Polygraph

Type of

Requisition :
Pipeline Clearance Level Must Currently Possess:
Top Secret SCI + Polygraph Clearance Level Must Be Able to Obtain:
Top Secret SCI + Polygraph Public Trust/Other

Required:

None Job Family: IT Infrastructure and Operations

Job Qualifications:

Skills:

Agile Methodology, Artificial Intelligence Technologies, Dev Sec Ops

Certifications:

None

Experience:

8 + years of related experience US Citizenship

Required:

Yes

Why GDIT Are you ready to be a part of an elite team at GDIT, working on a large-scale, pioneering National Intelligence program? This is an incredible opportunity to immerse yourself into an environment that fuses innovation, speed, and security to safeguard our Nation.

At GDIT, you'll thrive in a dynamic and collaborative setting, where your technical skills will be both challenged and expanded.

This program offers the chance to engage with cutting-edge technologies and contemporary development practices in support of a vital mission.

You’ll play a critical role in addressing some of the most intricate security and operational challenges facing Intelligence and Homeland Security today.

Come join us and contribute to a mission that truly matters, while advancing your career alongside some of the brightest minds in the industry.

The Lead Systems Engineer serves as the strategic technical leader for change and innovation across a six–Task Order software-development IDIQ portfolio.

Operating within the PMO, this role is responsible for rationalizing the portfolio, guiding AI insertion, driving continuous improvement, leading transitions of legacy work to new platforms, and ensuring cost, schedule, and performance objectives are met across completion-based task orders.

Assess existing projects, systems, and capabilities across all six Task Orders to identify:

Redundancies and overlaps.

Gaps relative to customer mission, priorities, and emerging needs.

Recommend consolidation, decommissioning, or modernization paths to optimize the portfolio.

Align technical investments with program and sponsor mission objectives, future-state architecture, and roadmap.

Evaluate where AI and advanced automation can add measurable value (e.g., software development, testing, operations, analytics).

Define AI insertion strategies and implementation roadmaps, including:

Use cases and expected outcomes.

Integration patterns with existing systems and services.

Provide technical guidance to Task Order teams to ensure AI capabilities are:

Responsibly designed and implemented.

Secure, explainable where required, and aligned with customer policies.

Ensure new AI-enabled solutions integrate effectively with the existing technical ecosystem.

Establish and maintain frameworks, metrics, and best practices that promote:

Increased delivery efficiency and quality.

Reduction of technical debt.

Repeatable, scalable technical patterns across Task Orders.

Facilitate cross-team collaboration (TO leads, Solution Architects, Lead Agilist, QA/Mission Assurance) to share:

Lessons learned, reusable components, and improvement ideas.

Drive adoption of modern engineering practices (e.g., Dev Sec Ops , CI/CD, test automation, observability).

Responsible for creating and maintain all technical CDRLs.

Champion a culture that continually seeks to:

Optimize technical performance and delivery processes.

Enhance customer mission outcomes and user experience.

Modernize legacy components and workflows.

Partner with PMO leadership and Task Order Leads to ensure engineering decisions are tied to measurable business and mission impacts.