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Front-end Engineer

Peraton

US · On-site Full-time $86k – $138k/yr 3d ago

About the role

Required Qualifications • 5+ years of experience with a Bachelor's degree, 3+ years with a Master's degree, or a PhD in Computer Science, UX Engineering, or related field • Hands-on professional front-end engineering experience • Working knowledge of Python • Expert proficiency in React and TypeScript • Experience with data visualization libraries (Plotly.js, D3.js, or similar) • Strong CSS/styling skills; experience with UX principles and responsive design • Understanding of accessibility standards (WCAG 2.1) • Experience with state management patterns and frontend architecture • Familiarity with WebSocket or server-sent events for real-time updates • US Citizenship with the ability to obtain/maintain a Secret clearance

Preferred Qualifications • Experience building analytical or BI dashboard interfaces • Familiarity with Markdown rendering and code editor components • Knowledge of SVG manipulation and animation

Peraton Labs is seeking a Front-end Engineer to design and implement the user-facing components of a generative AI platform, including the workbook/worksheet interface, artifact rendering pipeline, interactive visualizations, and program management dashboards. The Frontend Engineer ensures a seamless, responsive user experience for analysts and program managers working with complex data.

Key Responsibilities • Build and maintain the workbook/worksheet UI, including conversation management, file workspace browser, and artifact preview panels • Implement rendering pipelines for diverse content types: Markdown, HTML, SVG, Plotly JSON, interactive Gantt charts (.msp.json), and data tables • Develop domain-specific UI components • Build the skills autocomplete system, slash-command UX, and mode selector interface • Implement the Data Explorer UI panel for interactive database browsing and filtering • Create responsive, accessible interfaces that work across desktop and tablet form factors • Optimize frontend performance for large datasets and complex visualizations • Collaborate with Visualization/Dashboard Engineers on interactive chart component

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