L #2954
Applications open
Internship
Web Development Intern
Devryxa
About the role
WEB DEVELOPMENT INTERN
Company: Devryxa
Location: Remote
Employment Type: Full-Time
Compensation: Performance-Based, up to ₹25,000/-
ABOUT THE COMPANY
Devryxa focuses on delivering innovative technology solutions and building digital experiences through modern web technologies.
ABOUT THE ROLE
Devryxa is looking for a creative and motivated Web Developer to build, maintain, and optimize responsive websites and web applications. The role involves developing user-friendly interfaces and ensuring smooth website performance.
KEY RESPONSIBILITIES
- Develop responsive websites and web applications.
- Build web pages using HTML, CSS, and JavaScript.
- Implement features based on project requirements.
- Debug and fix website issues.
- Optimize website performance and usability.
- Maintain clean and reusable code.
- Collaborate with the development team.
ELIGIBILITY
- Degree or pursuing a degree in Computer Science, IT, or a related field.
- Freshers and experienced candidates can apply.
- Interest in web development and modern technologies.
REQUIRED SKILLS
- Knowledge of HTML, CSS, and JavaScript.
- Understanding of responsive web design.
- Familiarity with React.js is preferred.
- Basic knowledge of Git and GitHub.
- Good debugging and problem-solving skills.
PERKS & BENEFITS
- Performance-based compensation up to ₹25,000/-.
- Opportunity to work on real-world projects.
- Professional growth opportunities.
- Exposure to modern development tools.
- Collaborative work environment.
EQUAL OPPORTUNITY
Devryxa welcomes applicants from diverse backgrounds and promotes an inclusive and supportive workplace.
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 Devryxa 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
Devryxa Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Devryxa 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, Git) & 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
Devryxa 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 Devryxa as a Web Development Intern?
Highlight Devryxa's market reputation, recent tech innovations, and how your skills in JavaScript directly solve their team's objectives.
Highlight Devryxa'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: …
