L #2974
Applications open
Full-Time Job
Full Stack Developer
SHARDA CONSULTANCY SERVICES
About the role
We are seeking a motivated Full Stack Developer to join our dynamic team in Uttar Pradesh. The ideal candidate will have a strong foundation in both front-end and back-end technologies, with a focus on delivering high-quality web applications. As a Full Stack Developer, you will be responsible for designing, developing, and maintaining web applications that provide an exceptional user experience.
Key Responsibilities
- Collaborate with cross-functional teams to define, design, and ship new features. - Write clean, maintainable, and efficient code using JavaScript, HTML5, and CSS3. - Develop and maintain server-side applications and APIs. - Troubleshoot and debug applications to optimize performance. - Stay updated with emerging technologies and industry trends to continuously improve skills and knowledge.
Required Skills
- Proficiency in JavaScript, HTML5, and CSS3. - Understanding of web development principles and best practices. - Familiarity with version control systems, preferably Git. - Ability to work collaboratively in a team environment. - Strong problem-solving skills and attention to detail. This is an excellent opportunity for recent graduates or individuals with up to two years of experience looking to grow their careers in a supportive and innovative environment. If you are passionate about web development and eager to learn, we encourage you to apply.
This job is provided by Shine.com
Eligibility & process
Who can apply
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 SHARDA CONSULTANCY SERVICES 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
SHARDA CONSULTANCY SERVICES Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for SHARDA CONSULTANCY SERVICES 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, HTML5, CSS3, Git, React, Node.js, TypeScript, REST APIs) & 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
SHARDA CONSULTANCY SERVICES 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 SHARDA CONSULTANCY SERVICES as a Full Stack Developer?
Highlight SHARDA CONSULTANCY SERVICES's market reputation, recent tech innovations, and how your skills in JavaScript directly solve their team's objectives.
Highlight SHARDA CONSULTANCY SERVICES'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
Employment type: Full-time
