Senior Front End Developer

Senior Front End Developer

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 tooling—such as Claude Code, Gemini Code Assist, and GitHub Copilot—to 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.
Key Responsibilities
AI-Driven Application Development
Accelerated Engineering
Human-in-the-Loop Oversight
Design-to-Code Mastery
Platform & Tooling Innovation
Required Qualifications
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.
Preferred Qualifications
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 (GCP, 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.
Success Metrics
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.