Software Engineer - TS/SCI with Polygraph

General Dynamics Information Technology•McLean, VA

1d•Onsite

About The Position

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.

Requirements

8 + years of related experience
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.
8+ years experience
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.
US Citizenship Required
TS/SCI with Polygraph

Nice To Haves

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.