UI/UX Engineer

Leidos•Reston, VA

1d•$131,300 - $237,350•Onsite

About The Position

The Leidos Intelligence Group has an opening for UI/UX Engineer in Reston, Virginia. The successful candidate will work as a member of a government contractor team managing to design intuitive, user-centric interfaces and AI-driven applications for both unclassified and classified federal environments. You will bridge design and front-end development, translating complex mission data into accessible, secure UI solutions while adhering to government regulatory and security protocols. The ideal candidate has a strong foundation in user experience design, front-end development, and usability principles, with the ability to translate complex technical workflows into clean, efficient, and accessible interfaces. This individual will work closely with backend engineers, product owners, and end users to improve usability, performance, and overall user satisfaction. Work will be performed in a fast-paced, high-energy environment inside a government facility.

Requirements

TS/SCI w/Polygraph
Must be a US Citizen
Ability to conduct user research, stakeholder interviews, and usability testing to deeply understand the needs of defense and intelligence personnel.
Ability to translate user needs to create functionally designed interfaces that streamline complex data visualization and integrate seamlessly with AI-driven capabilities.
Ability to lead end-to-end design initiatives, including wireframing, storyboarding, user flows, and high-fidelity prototypes.
Strong experience with front-end technologies (JavaScript, HTML, CSS)
Experience with modern UI frameworks (React, Angular, etc.)
Demonstrated experience designing user-centered interfaces for complex applications
Understanding of UX principles, usability, and interaction design
Design intuitive interactions for AI/ML features, such as predictive inputs, machine-generated alerts, and dynamic analytics dashboards.
Collaborate heavily with back-end, data science, and AI/ML teams to ensure technical feasibility and smooth integration.
Work fluidly across multiple security domains (NIPRNet, SIPRNet, and JWICS or equivalent classified networks).

Nice To Haves

Experience with design tools (Figma, Sketch, Adobe XD)
Experience with data visualization tools (e.g., Grafana or similar)
Familiarity with REST APIs and backend integration
Exposure to CI/CD pipelines and front-end deployment workflows
Experience working in Agile environments
Experience designing and developing intuitive user interfaces for data-driven GEOINT applications.

Responsibilities

Creating, prototyping, and coding seamless user interfaces for mission-critical government systems that leverage AI/ML technologies.
Working seamlessly across unclassified and classified (TS/SCI) systems
Ensure high-security software remains intuitive, efficient, and accessible for federal stakeholders and analysts.
Design and develop intuitive, responsive user interfaces for web-based applications
Translate complex workflows into simple, efficient user experiences that improve usability and adoption
Build and maintain front-end components using modern frameworks (e.g., React, Angular, or similar)
Ensure applications meet usability standards and accessibility best practices
Contribute to and maintain consistent design patterns, components, and style guides
Gather and incorporate user feedback to continuously improve interface design and functionality
Work closely with backend engineers, product teams, and stakeholders to align UI/UX with system capabilities
Improve front-end performance, responsiveness, and scalability
Design intuitive interactions for AI/ML features, such as predictive inputs, machine-generated alerts, and dynamic analytics dashboards.
Create interfaces that streamline complex data visualization and integrate seamlessly with AI-driven capabilities.
Collaborate heavily with back-end, data science, and AI/ML teams to ensure technical feasibility and smooth integration.
Work fluidly across multiple security domains (NIPRNet, SIPRNet, and JWICS or equivalent classified networks).