Senior React Engineer — Enterprise UI & Performance

Tata Consultancy Services; Newark (NJ); On-site; USD 120,000 - 134,000; Full time

Benefits offered by this job

Discretionary incentive

Medical coverage (Medical & Health; Rx

Dental & Vision

Disability planning & insurance

Pet Insurance

Commuter benefits

Certification & training reimbursement

Vacation & holidays

401K plan with performance bonus

Job summary

Tata Consultancy Services in Newark, NJ, seeks a senior Frontend Engineer to build and optimize production React applications. The role requires deep expertise with hooks, lifecycle, and performance tuning, along with designing scalable component hierarchies and enterprise-grade design systems.

Candidates should lead performance improvements for large datasets and tables, using code-splitting, lazy loading, and memoization techniques to reduce unnecessary re-renders.

Qualifications

• Proficient in building production React applications.
• Expert understanding of the React lifecycle and optimization techniques.
• Experience architecting scalable component hierarchies and design systems for enterprise apps.

Responsibilities

• Build production React apps with mastery of hooks (useState/useEffect/useMemo/useCallback/useRef/useReducer).
• Diagnose and eliminate unnecessary re-renders in large, data-dense component trees.
• Architect scalable component hierarchies and design systems for enterprise applications.
• Implement performance optimizations for large datasets and tables (code-splitting, lazy loading, memoization).

Skills

React

Hooks

Performance

Design systems

Enterprise apps

Education

Bachelor of Computer Science

Job description

Tata Consultancy Services in Newark, NJ, seeks a senior Frontend Engineer to build and optimize production React applications. The role requires deep expertise with hooks, lifecycle, and performance tuning, along with designing scalable component hierarchies and enterprise-grade design systems.

Candidates should lead performance improvements for large datasets and tables, using code-splitting, lazy loading, and memoization techniques to reduce unnecessary re-renders.