Senior Front End Developer

**\#WeAreParamount on a mission to unleash the power of content you in?** Weve got the brands, weve got the stars, weve got thepowerto achieve our mission to entertain the planet now all were missing is YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter both for our audiences and our employees and aim to leave a positive mark on culture. • *Job Title** : Senior Front-End Developer (AI-Augmented Engineering) • *Team** : Global Quality Engineering (GQE) • *Location** : New York City, Los Angeles, San Francisco • *

** Paramount Skydance Corp. is seeking a Senior Front-End Developer to lead the development of high-performance, user-centric web applications that power the next generation of Quality Engineering platforms. This is a modern engineering role designed for a developer who has mastered the balance between expert-level coding and advanced AI-assisted development. In this role, you will not just write code; you will orchestrate it. You will leverage modern AI toolingsuch as Claude Code, Gemini Code Assist, and GitHub Copilotto accelerate delivery while acting as the ultimate authority on architectural integrity, security, and compliance. As part of the QE Innovation team, you will build the interfaces that streamline automation workflows and surface quality insights across the entire enterprise. • *

** AI-Driven Application Development Accelerated Engineering: Design and build high-quality React applications using TypeScript. Use modern UI patterns and AI tools to improve coding efficiency. This includes optimizing boilerplate code, refactoring, and making feature development faster. Human-in-the-Loop Oversight: Act as the primary filter for AI-generated output. You must meticulously monitor, audit, and correct code produced by AI to ensure it adheres to Paramount Skydances strict architectural standards and security protocols. Design-to-Code Mastery: Rapidly translate Figma design comps into reusable UI components and design systems, leveraging AI to bridge the gap between design intent and production-ready code. Platform & Tooling Innovation Build the front-end for internal QE platforms, including automation dashboards, triage tools, and AI-assisted testing interfaces. Implement real-time data visualizations and telemetry streams, ensuring that even complex, AI-curated data is presented with clarity and performance. Quality, Security & Compliance Validation and Verification: Ensure that all code, whether created by humans or AI, meets high standards. This includes performance, WCAG accessibility, and reliability. Security First: Audit AI suggestions for potential vulnerabilities, ensuring that sensitive data handling and API interactions remain compliant with enterprise security standards. Automated Testing: Implement robust testing strategies (Jest, Cypress, Playwright) to provide a safety net for rapid, AI-assisted iterations. • *