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REACT JS DEVELOPMENT INTERN

WebBoost Solutions by UM

  • India (Remote / Multiple), India
  • Competitive Package
  • Internship
  • Posted Yesterday
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About the role

REACT JS DEVELOPMENT INTERN

Company: WebBoost Solutions by UM

Location: Remote

Employment Type: Full-Time

Compensation: Performance-Based, up to ₹30,000/-

ABOUT THE COMPANY

WebBoost Solutions by UM focuses on delivering modern web solutions and creating opportunities for developers to enhance their technical expertise through practical projects, collaborative development, and innovative technologies.

ABOUT THE ROLE

WebBoost Solutions by UM is looking for a skilled and enthusiastic React.js Developer to build dynamic, responsive, and high-performing web applications. You will work on creating interactive user interfaces, developing reusable components, integrating APIs, and improving application performance.

KEY RESPONSIBILITIES

  • Develop responsive and interactive web applications using React.js.
  • Build reusable components and maintain scalable frontend architecture.
  • Convert UI/UX designs into functional and engaging interfaces.
  • Integrate REST APIs and manage application data efficiently.
  • Implement state management and interactive application features.
  • Debug issues, test functionality, and optimize application performance.
  • Collaborate with designers and developers to deliver quality solutions.

ELIGIBILITY

  • Bachelor's degree or currently pursuing a degree in Computer Science, IT, Software Development, or a related field.
  • Strong interest in React.js and modern frontend technologies.
  • Understanding of responsive design and frontend development principles.

REQUIRED SKILLS

  • Good understanding of HTML, CSS, and JavaScript (ES6+).
  • Familiarity with React.js, components, props, and hooks.
  • Basic knowledge of REST APIs and state management.
  • Familiarity with Git and GitHub.
  • Strong debugging, problem-solving, and teamwork skills.

PERKS & BENEFITS

  • Performance-based compensation up to ₹30,000/-.
  • Opportunity to work on practical React.js projects.
  • Professional guidance and technical exposure.
  • Recognition for outstanding contributions.
  • Opportunity to strengthen frontend development skills.

EQUAL OPPORTUNITY

WebBoost Solutions by UM is committed to maintaining an inclusive and supportive work environment. Applicants from diverse backgrounds are welcome to apply. We value creativity, technical curiosity, continuous learning, and a passion for building innovative web experiences.

Join WebBoost Solutions by UM and create powerful digital experiences with React.js!

Eligibility & process

Who can apply

Seniority: Entry level. Employment type: Full-time

Skills & stack

JavaScript React HTML5 CSS3 REST APIs Git TypeScript Next.js

Selection process

Details are shared by the recruiter after shortlisting.

Prep kit

19 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (JavaScript, React, HTML5, CSS3, REST APIs, Git, TypeScript, Next.js) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion WebBoost Solutions by UM Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 4
What is the bias-variance tradeoff and how do you prevent overfitting? Answer
Model answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer
Model answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer
Model answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer
Model answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Behavioural & HR questions 3
Why do you want to join WebBoost Solutions by UM as a REACT JS DEVELOPMENT INTERN?
Highlight WebBoost Solutions by UM's market reputation, recent tech innovations, and how your skills in JavaScript directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
WebBoost Solutions by UM Competitive Package
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