L #2701
Applications open
Full-Time Job
Web Developer
Zepto
About the role
Software Development Engineer I — Frontend (Web)
Location: Bengaluru, India | Experience: 1-2 Years | Team: Fulfillment Web
About the Role
Delivering groceries and essentials in minutes requires deeply integrated, high-throughput supply chain and fulfillment technology operating behind the scenes.
We are looking for a high-ownership Software Development Engineer I (SDE-1) to join our Fulfillment Web team. In this role, you will architect, build, and scale mission-critical web applications that power our end-to-end fulfillment ecosystem. You will solve complex UI and state management challenges at scale, with opportunities to contribute to backend APIs and build and utilize AI-powered workflows that accelerate business and engineering velocity.
About the Team
The Fulfillment Web team builds the operational nerve center of Zepto. Our platforms handle complex state, dense datasets, and real-time workflows across Vendor Experience, Finance, Last Mile Logistics, and Supply Chain Planning. Because our interfaces power dark-store operations, rider dispatch, and automated reconciliation, every millisecond of performance and improvement in reliability directly impacts warehouse throughput and company margins.
Key Responsibilities
- Build at Scale: Design, develop, and maintain modular, high-performance web applications using React and TypeScript, focusing on clean architecture and long-term maintainability.
- Own Complex Workflows: Translate intricate supply chain, financial, and operational requirements into intuitive, reliable user interfaces capable of handling large datasets, complex validations, and high concurrency.
- Drive Engineering Excellence: Write testable, resilient code. Contribute to shared UI component libraries, enforce strong typing, and participate in rigorous code and design reviews.
- Optimize Performance & Reliability: Proactively improve Core Web Vitals, bundle sizes, and runtime rendering performance. Instrument client-side telemetry and error tracking to guarantee high availability across operational portals.
- End-to-End Ownership: Collaborate closely with Product, Design, and Backend teams from PRD to production, stepping in to contribute to backend APIs or service integrations when needed.
- AI-Native Engineering: Leverage AI developer tools to ship faster and improve test coverage, while building intuitive frontend interfaces for internal AI and agentic tools.
What We Are Looking For
Must-Haves
- Experience: 1-2 years of hands-on software engineering experience building and shipping production web applications at scale in a fast-paced product environment.
- Strong Fundamentals: Deep mastery of JavaScript (ES6+), TypeScript, HTML5, and CSS, with a first-principles understanding of how browsers render, cache, and execute code.
- Frontend Architecture: Strong proficiency in React and modern frontend patterns, including client/server state management (e.g., TanStack Query, Zustand, Redux), asynchronous data handling, and modular component design.
- System Complexity: Demonstrated experience working on complex web systems—such as data-dense dashboards, role-based access control (RBAC), virtualized tables, complex multi-step forms, or real-time operational tooling.
- Core Engineering Principles: Solid foundation in data structures, algorithms, network protocols (HTTP, REST, WebSockets), web security, and performance optimization.
Good-to-Haves (Bonus Points):
- Backend Exposure: Experience contributing to backend services, REST/GraphQL APIs, or server-side logic across any modern backend stack (Node.js, Go, Java, Python, etc.).
- AI Tooling & Product Exposure: Practical experience using AI coding workflows (e.g., Cursor, Copilot, MCPs, automated test generation) to boost engineering velocity, alongside exposure to building UIs for LLM/agentic applications (streaming responses, chat/canvas interfaces).
- Modern Web Tooling: Familiarity with monorepo setups, modern bundlers, automated E2E/unit testing frameworks (e.g., Playwright, Vitest/Jest), and client-side observability tools.
- Education: Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
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 Zepto 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
Zepto Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Zepto 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, Redux, 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
Zepto 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 Zepto as a Web Developer?
Highlight Zepto's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Highlight Zepto'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
Bengaluru, India
Seniority: Entry level. Employment type: …
