JD #2106
Applications open
Internship
Web Developer
EABW
About the role
Mouser Electronics is a global distributor of electronic components, serving engineers and designers across more than 200 countries. With a strong focus on rapid product availability, technical support, and a robust digital platform, Mouser has positioned itself as a preferred partner for innovators in the hardware and IoT space. The company invests heavily in cuttingβedge technologies, dataβdriven supply chain solutions, and a culture that encourages continuous learning and collaboration. As part of its expansion in India, Mouserβs Bengaluru office acts as a hub for software development, product integration, and customerβfacing digital experiences.
The Web Developer role is designed for fresh graduates who are eager to translate business requirements into functional, highβperformance web applications. Reporting to the Lead Engineer, the incumbent will work closely with product managers, UI/UX designers, and QA teams to build, test, and maintain web solutions that power Mouserβs eβcommerce portal, internal dashboards, and partner APIs. This position offers exposure to the full software development lifecycle, from requirement gathering to deployment on Azure cloud services.
**Key Responsibilities**
1. Analyse user stories and translate them into technical specifications with effort estimates.
2. Design, develop, and maintain web applications using C#, ASP.NET MVC/Core, and related frontβend technologies.
3. Write clean, reusable code and implement unit tests to ensure high code quality.
4. Integrate SQL Server databases (2012/2016) with application layers, optimizing queries for performance.
5. Collaborate with UI/UX teams to implement responsive designs using Bootstrap, CSS, and jQuery.
6. Consume and create RESTful services using JSON and AJAX for dynamic data exchange.
7. Participate in code reviews, version control (TFS/Git), and continuous integration pipelines.
8. Troubleshoot production issues, perform rootβcause analysis, and propose fixes.
9. Stay updated with emerging web technologies and suggest improvements to the existing stack.
10. Contribute to documentation, knowledgeβbase articles, and internal bestβpractice guides.
**Tech Stack**: C#, ASP.NET MVC/Core, .NET Framework, Visual Studio 2015+, TFS, SQL Server 2012/2016, JavaScript, jQuery, Bootstrap, CSS, JSON, AJAX, Azure DevOps.
**Growth Path**: Successful performers can progress to Senior Web Developer, Technical Lead, or specialize in Cloud Architecture and Digital Experience Platforms within 2β3 years. Mouser encourages certifications in Microsoft technologies and offers mentorship programs.
**Why Join**: Working at Mouser gives fresh talent the chance to impact a global eβcommerce platform used by millions of engineers daily. The companyβs emphasis on innovation, a supportive learning environment, and competitive compensation (7.5β―LPA) make it an attractive launchpad for a software engineering career.
Eligibility & process
Who can apply
Graduates (B.Tech/B.E., B.Sc., MCA) in Computer Science, Information Technology, Electronics, or related streams; minimum 60% aggregate (or CGPA 6.0/10); final year students of 2025β2027 batches are welcome; no active backlogs at the time of joining; strong academic record in programming and data structures.
Skills & stack
Selection process
- Round 1: Online coding assessment (DSA & basic C# problems)
- Round 2: Technical interview (design, projects, stack knowledge)
- Round 3: HR interview (fit, expectations, culture)
Prep kit
19 resourcesStudy material 4
Placement Papers for Oracle Roles
Curated set of previous Oracle placement papers to practice relevant technical questions.
Insights into Oracle Recruitment Process
Firstβhand experiences and tips from candidates who have cleared Oracle's hiring stages.
Comprehensive Oracle Interview Guide
Structured guide covering common topics, sample questions, and preparation strategies for Oracle interviews.
Algorithm Practice Problems
Extensive problem set to sharpen coding skills required for online assessments and technical rounds.
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
EABW Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for EABW 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 (C#, Asp.Net Mvc, Net Framework, JavaScript, Jquery, 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
EABW 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 EABW as a Web Developer?
Highlight EABW's market reputation, recent tech innovations, and how your skills in C# directly solve their team's objectives.
Highlight EABW's market reputation, recent tech innovations, and how your skills in C# 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.
7.5 LPA
Internship
Bengaluru, Karnataka, India
Nov 06, 2026
