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REQUIREMENT_ID_1660 β€’ 3-DAY_ACTIVE_POLICY

MERN Stack Developer

Company
Company Vegavid Technology
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary Competitive, as per market standards and experience
Location
Location Noida, Uttar Pradesh
Posted Date
Posted Date Today
MongoDB Express.js React.js Node.js JavaScript ES6+ REST APIs HTML CSS Git GitHub Database fundamentals Problem solving Debugging
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Aptitude Practice Questions Open Resource β†—
Helps you sharpen quantitative and logical reasoning skills often tested in the initial screening round.
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Company Interview Preparation Guide Open Resource β†—
Provides insights into typical interview patterns and common questions asked by tech companies for full‑stack roles.
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Technical Interview Resources Open Resource β†—
Covers core MERN stack concepts, coding exercises, and system design basics essential for the technical interview.
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Algorithm Practice Problems Open Resource β†—
Offers a wide range of coding problems to improve problem‑solving speed and accuracy for the online test.

Graduates with BE/B.Tech/M.Tech/MCA in Computer Science, Information Technology or related streams; minimum 60% aggregate (or CGPA 6.0/10); any batch year; no active backlogs at the time of joining.

1
Round 1: Online coding test (data structures & algorithms)
2
Round 2: Technical interview (MERN stack concepts, system design)
3
Round 3: HR interview (culture fit, expectations).
Vegavid Technology is a fast‑growing software solutions provider based in the vibrant tech hub of Noida, Uttar Pradesh. Founded a few years ago, the company focuses on delivering end‑to‑end digital products for clients ranging from startups to mid‑size enterprises. With a culture that encourages continuous learning, Vegavid has built a reputation for adopting modern technologies and fostering an environment where engineers can experiment, innovate, and see the impact of their work directly on customer success. The organization prides itself on a flat hierarchy, open communication, and a strong emphasis on work‑life balance, making it an attractive destination for early‑career professionals looking to grow. The role of MERN Stack Developer is central to Vegavid’s product development strategy. As a full‑stack engineer, you will be responsible for designing, developing, and maintaining web applications that leverage the power of MongoDB, Express.js, React.js, and Node.js. You will collaborate closely with UI/UX designers, product managers, and senior developers to translate business requirements into scalable, high‑performance solutions. This position offers exposure to the complete software development lifecycle, from requirement gathering and architecture design to deployment and post‑release monitoring. Key Responsibilities: 1. Design and develop responsive front‑end interfaces using React.js and modern JavaScript (ES6+). 2. Build robust server‑side APIs and services with Node.js and Express.js. 3. Model, query, and manage data using MongoDB, ensuring optimal performance. 4. Write clean, reusable, and well‑documented code following industry best practices. 5. Perform unit testing and integration testing to guarantee code quality. 6. Debug, troubleshoot, and resolve application issues promptly. 7. Collaborate with cross‑functional teams to define technical specifications and project timelines. 8. Participate in code reviews, providing constructive feedback and learning from peers. 9. Maintain version control using Git/GitHub and follow CI/CD pipelines. 10. Stay updated with emerging trends in the MERN ecosystem and suggest improvements. Tech Stack: MongoDB, Express.js, React.js, Node.js, JavaScript/ES6+, HTML5, CSS3, Git, GitHub, RESTful APIs. Growth Path: Starting as a junior MERN developer, you can progress to Senior Developer, Tech Lead, and eventually Architect or Product Manager, depending on your interests and performance. Vegavid supports professional development through regular training sessions, conference sponsorships, and mentorship programs. Why Join Vegavid Technology? You will work on real‑world projects that impact thousands of users, gain hands‑on experience across the full stack, and be part of a supportive team that values innovation and personal growth. The company’s competitive compensation, flexible work arrangements, and focus on employee well‑being make it an ideal place for ambitious engineers to launch and accelerate their careers.

Vegavid Technology β€” AI & Machine Learning Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Vegavid Technology Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Vegavid Technology and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
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 (MongoDB, Express.js, React.js, Node.js, JavaScript, ES6+, REST APIs, HTML, CSS, Git, GitHub, Database fundamentals, Problem solving, Debugging) & 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
Vegavid Technology Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer β–Ό
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 β–Ό
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 β–Ό
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 β–Ό
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).
Why do you want to join Vegavid Technology as a MERN Stack Developer?
Preparation Tip: Highlight Vegavid Technology's market reputation, recent tech innovations, and how your skills in MongoDB directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: 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?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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