L #2814
Applications open
Full-Time Job
Web Developer
Talent to Job
About the role
WEB DEVELOPER
Company: Talent to Job
Location: Remote
Employment Type: Full-Time
Salary: Performance-Based, up to ₹40,000/-
ABOUT THE COMPANY
Talent to Job provides aspiring developers and technology professionals with opportunities to develop practical expertise in web development and modern technologies. The organization focuses on building real-world technical skills through hands-on projects, mentorship, and industry-oriented learning experiences.
ABOUT THE ROLE
As a Web Developer at Talent to Job, you will be responsible for designing, developing, testing, and maintaining responsive websites and web applications.
You will work on various aspects of web development, including frontend development, website functionality, debugging, performance optimization, and creating user-friendly web experiences.
RESPONSIBILITIES
- Develop responsive and user-friendly websites and web applications.
- Build and maintain web pages using HTML, CSS, and JavaScript.
- Implement website features based on project requirements.
- Debug and resolve technical and UI-related issues.
- Optimize websites for performance, responsiveness, and usability.
- Test web applications across different browsers and devices.
- Collaborate with team members on web development projects.
- Maintain clean, organized, scalable, and reusable code.
- Ensure website functionality and cross-browser compatibility.
- Stay updated with modern web development technologies and best practices.
ELIGIBILITY
- Bachelor's degree or currently pursuing a degree in Computer Science, Information Technology, Web Development, or a related field.
- Strong interest in web development and modern technologies.
- Ability to work on practical development projects.
- Freshers and candidates with relevant experience are welcome to apply.
REQUIRED SKILLS
- Basic to intermediate knowledge of HTML, CSS, and JavaScript.
- Understanding of responsive web design principles.
- Familiarity with frontend frameworks such as React.js is preferred.
- Basic knowledge of website optimization and browser compatibility.
- Familiarity with Git/GitHub.
- Good problem-solving and debugging skills.
- Strong communication and teamwork skills.
PERKS & BENEFITS
- Competitive, performance-based compensation up to ₹40,000/-.
- Opportunity to work on real-world web development projects.
- Professional growth and learning opportunities.
- Practical industry exposure.
- Opportunity to collaborate with a team of technology professionals.
- Recognition for outstanding performance.
EQUAL OPPORTUNITY STATEMENT
Talent to Job is an equal opportunity organization committed to providing an inclusive and supportive work environment. We welcome applicants from diverse backgrounds and encourage individuals with a passion for web development, technology, and professional growth to apply.
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 Talent to Job 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
Talent to Job Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Talent to Job 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, Data Structures & Algorithms, Python/Java, System Design) & 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
Talent to Job 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 Talent to Job as a Web Developer?
Highlight Talent to Job's market reputation, recent tech innovations, and how your skills in JavaScript directly solve their team's objectives.
Highlight Talent to Job'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: …
