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# Senior Front End Developer

- **Company:** Paramount Skydance Corporation
- **Location:** Burbank, CA, United States
- **Experience:** Expert
- **Salary:** $124,000.0 - $186,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Architectural Patterns, Automation of Tests, Code Generation, Software Quality, Continuous Integration, D3.Js, Data Visualization, Design of User Interfaces, Open Web Application Security, Productivity Software, Software Engineering, TypeScript, Web Content Accessibility Guidelines, WebSocket, Data Processing, Google Cloud, ReactJS, Large Language Models, Claude Code, Cypress (Programming Language), Backend, Agentic-AI, Build Management, Playwright, Production Code, Real Time Data, Figma, Front End Software Development, React Redux, Google Gemini, Data Pipelines, Human in the Loop
- **Published:** October 23, 2026
- **Apply:** https://www.dice.com/job-detail/02551a42-68e6-4b00-b98e-b85e2c0f7c04

## About the Role

7+ years of professional experience in front-end or full-stack development.
AI Tooling Fluency: Demonstrated "must-have" experience using Claude Code, Gemini Code Assist, or equivalent LLM-based coding agents to deliver complex features.
Expert React & TypeScript: Deep proficiency in React Hooks, state management (Zustand, Redux, or Context), and component-driven design.
Critical Oversight Capability: A solid ability to identify errors or bad patterns in AI-generated code. Can manually correct these issues to meet senior-level engineering standards.
Security & Architecture: Proficient in secure front-end development according to OWASP standards. Knowledge of browser performance and scalable architectural patterns., Experience building developer productivity tools or internal engineering dashboards.
Familiarity with data visualization (D3.js, Recharts) and real-time interfaces (WebSockets).
Experience with cloud platforms (Google Cloud Platform, AWS) and CI/CD workflows.

Key Competencies
AI-Augmented Execution: The ability to achieve 10x output by effectively prompting and managing AI agents without sacrificing code quality.
Architectural Rigor: A refusal to accept "working code" if it violates long-term maintainability or security standards.
Systems Thinking: Understanding how front-end applications integrate with complex backend data pipelines and AI-driven quality insights.

## Description

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 Skydance's 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., Velocity & Quality: Delivery of high-quality features at an accelerated pace through the expert application of AI tooling.
Standardization: Successful implementation of reusable patterns that pass all security and architectural audits.
Efficiency: Significant reduction in manual UI development time through the adoption of AI-assisted workflows.