N #2151
Applications open
Full-Time Job
Java Full Stack Developer - Bangalore
Value Innovation Labs
About the role
Experience Range= 5-7 Years Location: Bangalore Interview process: AI interviews, L1, and Client 2 interview L2 Round at the client office at Bangalore location, Face to Face. Role & responsibilities Mandatory skills: React and good understanding of hooks and frontend to backend integration, JavaScript, Python, Develop programming, testing and automation. Degree or post graduate qualification in Computer Science or Engineering or Equivalent with 4+ years of working. Commercial experience working within software engineering. Core Technology: Strong experience with Java and/or Python, Web development and Backend development. Front-End Development: 3+ years of working experience in Vue, JavaScript, HTML5, CSS, Typescript, UI Development, Typescript Back-End Development: node.js, RESTful Web Services, MongoDB/NoSQL DBs, Linux/Unix Services Cloud Tools: Working knowledge of Cloud tools such as Kubernetes, Docker, GitHub and CI/CD tools such as Harness and/or Jenkins. Monitoring Tools: Working knowledge of Monitoring Tools such as Datadog and/or OpsGenie. 3+ Years of working experience in technology. Object Oriented Programming language Java/.net. Cloud Platforms: Working experience of Cloud (preferably AWS/Azure) is an added advantage. Cloud Development: Working experience of Cloud (OKD / OpenShift preferred) development Please share your updated profile puneet@mounttalent.com. Or else whatsapp me on 8810217837
Eligibility & process
Who can apply
Experience: 5-10 Yrs. Open to matching qualifications.
Skills & stack
Selection process
- Online Assessment / Technical Interview Rounds / HR Review
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 Value Innovation Labs and tech roles.
Technical Placement Cheat Sheets & 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
Value Innovation Labs Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Value Innovation Labs 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 (Python, Java, JavaScript, TypeScript, React, Vue.js, HTML5, CSS3) & 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
Value Innovation Labs 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 Value Innovation Labs as a Java Full Stack Developer - Bangalore?
Highlight Value Innovation Labs's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Highlight Value Innovation Labs's market reputation, recent tech innovations, and how your skills in Python 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 (Best in Industry)
Full-Time Job
Bengaluru, India
Nov 06, 2026
