Software Engineer Sr Advisor Intelligence Community Applications

GD Information Technology•Fairfax, VA

7d•Hybrid

About The Position

Deliver simple solutions to complex problems as a Software Engineer Sr Advisor at GDIT. Here, you’ll tailor cutting-edge solutions to the unique requirements of our clients. With a career in application development, you’ll make the end user’s experience your priority and we’ll make your career growth ours. At GDIT, people are our differentiator. As a Software Engineer Sr Advisor you will help ensure today is safe and tomorrow is smarter. Our work depends on Software Engineer Sr Advisor joining our team to drive the design and development of mission-focused software solutions for the U.S. Intelligence Community. This role requires both deep technical expertise and strong leadership capabilities to support national security initiatives through advanced application development. As a lead engineer, you will guide a high-performing team building secure, resilient, and scalable systems that support critical intelligence operations—from data ingestion and analysis to real-time situational awareness and decision support.

Requirements

Education: Bachelors or Masters Degree in Computer Science, Engineering, or a related field. Bachelors degree is required.
Experience: 8+ years of related experience , with at least 2 years in a technical leadership role
Required Skills and Abilities: Expertise in languages such as Python, Java, C#, or Go
Experience with modern architectures (e.g., microservices, event-driven systems).
Familiarity with container technologies (Docker, Kubernetes) and cloud platforms (AWS GovCloud, C2S).
Strong grasp of cybersecurity fundamentals and secure coding practices.
Experience working in Agile or SAFe environments.
US Citizenship required
Clearance Active TS with eligibility for SCI required

Nice To Haves

Soft skills like presentation, documentation and customer collaboration
Experience supporting U.S. Intelligence Community or Department of Defense missions
Working knowledge of data ingestion, integration, search processing.
Familiarity with tools such as Kafka, Elasticsearch, NiFi, or cloud-native services.
Understanding of Zero Trust architectures, cross-domain solutions (CDS), and IC policy requirements (e.g., ICD 705, NIST SP 800-53).
Experience integrating with geospatial, biometric, or analytic platforms used across the IC.
Exposure to AI methodologies.

Responsibilities

Technical Leadership: Oversee and guide the development of secure, high-performance software systems across the entire SDLC—from architecture and implementation to deployment and sustainment.
System Architecture: Design modular, scalable, and mission-resilient systems using modern frameworks, cloud-native architectures, and secure development practices.
Secure Development: Ensure systems are compliant with IC standards for cybersecurity, including RMF, ICD 503, and Zero Trust principles.
Cross-Team Collaboration: Partner with analysts, mission users, data scientists, and systems engineers to translate intelligence requirements into operational capabilities.
Classified Environments: Develop and support applications within classified environments, working with containerization, virtualization, or air-gapped networks as needed.
Needs to work individually as well as collaborate with the rest of the team as needed.
Code Quality & DevSecOps: Promote software quality through peer reviews, CI/CD automation, test coverage, and infrastructure-as-code practices.
Mentorship: Provide technical mentorship and direction to junior engineers, and foster a culture of innovation, accountability, and mission alignment.
Incident Response: Lead the resolution of mission-impacting bugs or vulnerabilities under strict availability and security constraints.