L #2978
Applications open
Internship
MERN STACK DEVELOPMENT INTERN
WebBoost Solutions by UM
About the role
MERN STACK DEVELOPMENT INTERN
Company: WebBoost Solutions by UM
Location: Remote
Employment Type: Full-Time
Compensation: Performance-Based, up to ₹30,000/-
ABOUT THE ROLE
WebBoost Solutions by UM is seeking a skilled and enthusiastic MERN Stack Developer to build, enhance, and maintain modern full-stack web applications. The ideal candidate should have a good understanding of frontend and backend technologies and a passion for creating efficient, scalable, and user-friendly applications.
KEY RESPONSIBILITIES
- Develop full-stack applications using MongoDB, Express.js, React.js, and Node.js.
- Create responsive and interactive user interfaces.
- Build and integrate REST APIs and backend services.
- Manage databases and ensure efficient data handling.
- Debug issues and optimize application performance.
- Write clean, reusable, and maintainable code.
- Collaborate with team members on development projects.
- Support application testing, deployment, and maintenance.
ELIGIBILITY
- Bachelor's degree or currently pursuing a degree in Computer Science, IT, or a related field.
- Strong interest in full-stack development.
- Understanding of frontend and backend development concepts.
- Willingness to learn and work on practical projects.
REQUIRED SKILLS
- Knowledge of HTML, CSS, and JavaScript.
- Familiarity with React.js and component-based development.
- Understanding of Node.js and Express.js.
- Basic knowledge of MongoDB and REST APIs.
- Familiarity with Git and GitHub.
- Good problem-solving and communication skills.
PERKS & BENEFITS
- Performance-based compensation up to ₹30,000/-.
- Hands-on experience with real-world projects.
- Professional guidance and industry exposure.
- Opportunity to strengthen full-stack development skills.
- Recognition for excellent performance.
EQUAL OPPORTUNITY
WebBoost Solutions by UM welcomes applicants from diverse backgrounds and is committed to providing an inclusive and supportive work environment.
Join WebBoost Solutions by UM and turn your MERN Stack skills into impactful digital solutions!
Eligibility & process
Who can apply
Seniority: Entry level. Employment type: Full-time
Skills & stack
Selection process
Details are shared by the recruiter after shortlisting.
Prep kit
19 resourcesStudy material 4
Aptitude Practice Questions & Mock Tests
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
Company-Specific Interview Preparation Corner
Detailed interview experiences, exam formats, and previous test questions for WebBoost Solutions by UM and tech roles.
Technical Placement Question Bank
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
Algorithm, DSA & Live Code Debugger Practice
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
Company-specific guides 4
APTITUDE & LOGIC
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
COMPANY GUIDE
WebBoost Solutions by UM Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for WebBoost Solutions by UM and off-campus tech roles.
MOCK TESTS & PAPERS
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
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, Node.js, Express.js, REST APIs, MongoDB) & 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 MERN STACK 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.
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).
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.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Competitive Package
India (Remote / Multiple), India
Seniority: Entry level. Employment type: …
