Software Engineer - TS/SCI with Polygraph

General Dynamics Information Technology•Chantilly, VA

1d•Onsite

About The Position

Transform technology into opportunity as a Software Engineer with GDIT. A career in enterprise IT means connecting and enhancing the systems that matter most while you build valuable skills that will help you in your career. At GDIT you’ll be at the forefront of innovation and play a meaningful part in improving how agencies operate. KEY TASKS: Participate in all Lean Agile scrums, sprints and grooming sessions. Consult and coordinate appropriately for problem resolution, task scheduling, new resource requirements, and task clarification. Work in partnership with an integrated team of staff and contractors. Understand the cloud environments, such as AWS or Azure. Coordinate and collaborate with security, operations, engineering, testing and other teams to provide system information and technical support. Design, develop and modify software systems. Document and track vendor software roadmaps for software and patch version updates. Unit test their software and perform code. Design and implement scalable search and retrieval systems leveraging Elasticsearch. Develop and integrate LLM-powered capabilities, including Retrieval-Augmented Generation (RAG) pipelines

Requirements

Demonstrated experience working in Lean Agile Development environment.
Demonstrated experience building or integrating LLM-based solutions, including RAG, semantic search, or AI-assisted retrieval systems.
Demonstrated experience developing detailed design and associated deliverables.
Demonstrated experience translating customer and system requirements into design.
Demonstrated experience designing system interfaces.
Demonstrated experience developing Single Page Applications using React (modern hooks-based architecture), HTML5, and CSS3.
Demonstrated hands-on experience developing RESTful APIs using Node.js and Express (or comparable modern backend frameworks).
Demonstrated hands-on experience with and troubleshooting of Internet and Web related protocols and technologies such as Tomcat, Nodejs, Web Services, or SSL.
Demonstrated experience with testing platforms such as Jest or Karma.
Demonstrated hands-on experience working with DevOps tools such as Git, Jenkins, or Nexus
Demonstrated hands-on experience with Elasticsearch (index design, querying, relevance tuning, and scaling).
Demonstrated experience designing or implementing data pipelines to support search and/or RAG workflows (e.g., ingestion, chunking, embeddings, vector search).
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.
10+ years
TS/SCI with Polygraph
US Citizenship Required

Nice To Haves

Demonstrated recent experience with the Sponsor’s Lean Agile methodology
Experience evaluating, selecting, and integrating LLMs (e.g., OpenAI, open-source models) into enterprise applications.
Experience with vector databases, hybrid search (keyword + semantic), and relevance optimization.
Ability to lead or mentor teams in adopting search + AI/LLM best practices (strong preference for candidates who can elevate team capability, not just contribute individually).

Responsibilities

Participate in all Lean Agile scrums, sprints and grooming sessions.
Consult and coordinate appropriately for problem resolution, task scheduling, new resource requirements, and task clarification.
Work in partnership with an integrated team of staff and contractors.
Understand the cloud environments, such as AWS or Azure.
Coordinate and collaborate with security, operations, engineering, testing and other teams to provide system information and technical support.
Design, develop and modify software systems.
Document and track vendor software roadmaps for software and patch version updates.
Unit test their software and perform code.
Design and implement scalable search and retrieval systems leveraging Elasticsearch.
Develop and integrate LLM-powered capabilities, including Retrieval-Augmented Generation (RAG) pipelines