Software Engineer - TS/SCI with Polygraph

Type of Requisition:

Regular

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:

Software Engineering

Job Qualifications:

Skills:

Amazon Web Services (AWS), CI/CD, Cloud Infrastructure

Certifications:

None

Experience:

8 + years of related experience

US Citizenship Required:

Yes

Job Description:

Seize your opportunity to make a personal impact as a Software Engineer supporting an information technology enterprise. At GDIT, people are our differentiator. As a Software Engineer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Software Engineer joining our team.

WHAT YOU’LL NEED TO SUCCEED:

• Education: Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or the equivalent combination of education, technical certifications or training, or work experience.
• Experience: 8+ years
• Required skills:
• Proven experience developing, customizing, and using applications for analytical purposes.
• Hands-on experience with cloud microservices and tools (e.g., S3, RDS, EC2).
• Experience managing SQL databases in cloud-based environments, including creating new schemas, mapping across MySQL and PostgreSQL systems, and improving data discovery processes.
• Experience developing operating system–level scripts to perform ETL operations on SQL databases.
• Proficiency with version control systems, especially Git.
• Experience using containerization technologies such as Docker, or building and deploying containerized applications and databases.
• Working experience with Anaconda, Bash, and Terraform for development workflows.
• Experience building and maintaining CI/CD pipelines using tools such as Git/GitHub, Jenkins, Jira, and Confluence.
• Experience with automated testing and automated deployment of infrastructure or configurations.
• Experience administering, provisioning, and using cloud technologies (e.g., AWS), with emphasis on applying data science approaches in cloud environments.
• Experience optimizing connectivity between cloud services and on-premises high-performance compute servers.
• Experience developing and maintaining system and architectural documentation.
• Experience provisioning and managing cloud compute resources and services (AWS, Azure, or comparable platforms).
• Professional proficiency in SQL, PL/SQL, Python, and Java.
• Location: McLean, VA (On Customer Site)
• Desired skills:
• Formal education or experience in Computer Science, Computer Engineering, Systems Engineering, or a closely related discipline.
• Strong ability to organize and structure solutions for complex technical problems.
• Excellent coordination and collaboration skills.
• Experience supporting analytic mission areas, including research into analyst workflows and user needs.
• Experience assisting data scientists with model development, including fine‑tuning, transfer learning, and building models for classification, prediction, generative AI, or similar tasks.
• Experience optimizing deployment of AI models in cloud environments.
• Experience integrating cloud servers with Tableau for visualization output.
• Experience with the sponsor’s data management lifecycle.
• Ability to balance and prioritize multiple competing tasks.
• Experience with distributed computing, including designing and implementing parallel processing solutions.
• US Citizenship Required

GDIT IS YOUR PLACE:

• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays

#WeAreGDIT  
#JET
#GDITEnhanced2026
#VA_2026Alumni 

The likely salary range for this position is $155,550 - $210,450. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

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