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REQUIREMENT_ID_1613 • 3-DAY_ACTIVE_POLICY

SDE I Intern

Company
Company Amazon
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 1.5 Lakh per month
Location
Location Pan India (Bengaluru, Chennai, Hyderabad, Delhi, Mumbai, Pune)
Posted Date
Posted Date Oct 07, 2026
Object‑Oriented Design Data Structures Algorithms Operating Systems C++ Java Python Distributed Systems Problem Solving Agile Development
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Amazon Placement Papers – Sample Questions Open Resource ↗
Curated set of previous Amazon interview questions that help candidates practice core coding and system design concepts.
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Amazon Recruitment Process – Interview Experiences Open Resource ↗
First‑hand accounts of candidates detailing each interview round, useful for understanding expectations and preparation strategies.
📖
Amazon Interview Preparation Guide Open Resource ↗
Comprehensive guide covering coding patterns, behavioral questions, and tips specific to Amazon’s interview style.
📖
LeetCode Problem Set for Coding Interviews Open Resource ↗
Extensive collection of algorithmic problems to sharpen problem‑solving speed and accuracy for Amazon coding assessments.

Currently enrolled in a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Technology or a related field; expected graduation year 2027; minimum CGPA 6.5/10 (or equivalent); no active backlogs at the time of joining; must be able to commit full‑time for 24‑26 weeks; must obtain a university declaration of availability.

1
Round 1: Online Coding Assessment (multiple coding problems on platforms like HackerRank)
2
Round 2: Technical Interview (system design, coding, and problem‑solving)
3
Round 3: HR Interview (behavioral questions, Amazon Leadership Principles, internship logistics)
Amazon is a global technology leader that has redefined e‑commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, the company now operates in more than 20 countries and serves millions of customers daily. Its core philosophy – customer obsession – drives relentless innovation, making Amazon one of the most admired brands worldwide. In India, Amazon has built massive fulfillment networks, a thriving AWS ecosystem, and a vibrant marketplace that connects sellers and buyers across the subcontinent. The company invests heavily in talent, offering a fast‑paced environment where fresh ideas are encouraged and every employee can make a tangible impact. The SDE I Internship is a six‑month, full‑time program that immerses selected candidates in real‑world software development. Interns are paired with a manager and a mentor, and they work on production‑grade projects that directly affect Amazon customers. The role is designed for students graduating in 2027 who have a solid grounding in computer science fundamentals and a passion for building scalable, reliable systems. Interns will experience Amazon’s “two‑pizza team” culture, collaborating with cross‑functional engineers, product managers, and data scientists to deliver features from concept to launch. Key responsibilities include: 1. Collaborate with senior engineers to design, develop, and test new services or enhancements. 2. Write clean, maintainable code in Java, C++, or Python following Amazon’s coding standards. 3. Participate in code reviews, providing constructive feedback and learning from peers. 4. Build and optimize distributed storage, indexing, or query components that handle large‑scale traffic. 5. Develop algorithms for data mining, recommendation, or predictive analytics. 6. Conduct performance testing and troubleshoot scalability or reliability issues. 7. Contribute to documentation, design specifications, and technical presentations. 8. Work in an agile sprint cycle, delivering incremental value each iteration. 9. Engage with internal tech talks and mentorship sessions to broaden technical expertise. 10. Assist in automating deployment pipelines and monitoring tools. The typical tech stack includes Java, C++, Python, AWS services (EC2, S3, DynamoDB), Linux, Docker, and CI/CD frameworks. Successful interns often transition to full‑time SDE roles, with clear growth paths toward senior engineering, technical leadership, or specialized domains such as machine learning, security, or infrastructure. Joining Amazon offers exposure to cutting‑edge technologies, a culture that rewards ownership, and the chance to solve problems that impact billions of users worldwide. The internship also provides a strong professional network, mentorship, and a competitive stipend that reflects the high value Amazon places on talent.

Amazon — Software Engineering & Full Stack Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

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.

Open Resource ↗
COMPANY GUIDE 🎯
Amazon Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Amazon and off-campus tech roles.

Open Resource ↗
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.

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource ↗
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 (Object‑Oriented Design, Data Structures, Algorithms, Operating Systems, C++, Java, Python, Distributed Systems, Problem Solving, Agile Development) & 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
Amazon Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Explain OOP (Object-Oriented Programming) principles with real-world examples in Object‑Oriented Design. Answer ▼
Model Answer: 1. Encapsulation (data hiding via private fields/getters). 2. Abstraction (hiding implementation complexity). 3. Inheritance (code reusability). 4. Polymorphism (method overriding/overloading).
What is the time and space complexity of QuickSort vs MergeSort? Answer ▼
Model Answer: QuickSort: Average O(N log N) time, O(log N) space. Worst O(N^2). MergeSort: Guaranteed O(N log N) time, but requires O(N) auxiliary space.
Explain the difference between SQL Indexing (B-Tree vs Hash) and when not to use an index. Answer ▼
Model Answer: Indexes speed up SELECT queries via B-Trees. However, they slow down INSERT, UPDATE, and DELETE operations because indexes must be updated on disk. Avoid on low-cardinality columns (e.g., boolean flags).
What happens under the hood when you enter a URL in a browser? Answer ▼
Model Answer: 1. DNS lookup (resolves IP). 2. TCP 3-way handshake (SYN, SYN-ACK, ACK). 3. TLS negotiation for HTTPS. 4. HTTP GET request sent. 5. Server responds with HTML/CSS/JS. 6. Browser renders DOM & CSSOM tree.
What is the difference between REST and GraphQL APIs? Answer ▼
Model Answer: REST uses multiple fixed endpoints with possible over/under-fetching. GraphQL uses a single endpoint allowing clients to query exact fields in a single request.
Why do you want to join Amazon as a SDE I Intern?
Preparation Tip: Highlight Amazon's market reputation, recent tech innovations, and how your skills in Object‑Oriented Design directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: 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?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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