Software Engineer

Leidos•Reston, VA

18h•$57,850 - $104,575

About The Position

Leidos is seeking a talented Software Engineer to help lead the development of next-generation software capabilities within our dynamic research and development environment. In this role, you’ll design and deliver innovative Knowledge Management solutions that power data-driven decision-making across critical national security missions. You’ll work at the intersection of data engineering, AI, and full-stack development, building scalable platforms that transform complex data into actionable insights.

Requirements

Experience in software development and system design, with a strong foundation in computer science principles
Proficiency in one or more programming languages such as Python, Java, C++, R, or JavaScript/TypeScript
Experience building applications using React or Angular, and back-end frameworks such as FastAPI
Familiarity with SQL and NoSQL databases
Working knowledge of cloud platforms (preferably AWS) and containerization technologies (e.g., Docker)
Experience with data pipelines, ETL processes, and data management systems
Exposure to Generative AI / LLM APIs (e.g., OpenAI, Anthropic, Bedrock)
Understanding of software testing frameworks (e.g., pytest, Playwright, Jest)
Ability to work in Linux/Unix and Windows environments
Strong communication skills and experience collaborating with technical and non-technical stakeholders
Bachelor’s degree in computer science, Information Systems, Systems Engineering, or a related field
Minimum of 1+ years of relevant experience
Interest in supporting Intelligence Community and DoD missions
U.S. Citizenship required

Nice To Haves

Advanced degree (MS) in a relevant technical field
Experience with AI/ML, LLMs, and AWS Bedrock
Familiarity with DTRA R&D or Combatant Command environments
Experience integrating COTS/GOTS tools, including 3D modeling, simulation, or visualization platforms

Responsibilities

Design and develop Knowledge Management systems, including data pipelines, ontologies, and AI-enabled platforms
Build modern web applications (front-end and back-end) to support search, discovery, and analysis
Develop and maintain ETL pipelines and data lake architectures
Integrate AI/ML capabilities, including Generative AI and LLM APIs
Collaborate across teams to gather requirements and deliver scalable, mission-focused solutions
Support data analysis, modeling, simulation, and visualization efforts
Ensure software quality through testing, validation, and performance optimization
Deploy solutions in secure, cloud-based, and containerized environments