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REQUIREMENT_ID_392 • 3-DAY_ACTIVE_POLICY

Systems Development Engineer Intern

Company
Company Amazon
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 1.5 LPA per month
Location
Location Pan India (Bengaluru, Chennai, Hyderabad)
Posted Date
Posted Date Sep 19, 2026
Java C++ Python Object‑oriented design Operating Systems Data Structures Algorithms Distributed Systems SQL Problem solving Communication
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Amazon Placement Papers – Comprehensive Question Bank Open Resource ↗
Curated set of previous Amazon interview questions to practice coding and system design concepts.
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Amazon Recruitment Process – Experience Insights Open Resource ↗
First‑hand accounts of candidates detailing each interview round and preparation tips.
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Amazon Interview Guide – Preparation Roadmap Open Resource ↗
Step‑by‑step guide covering topics, mock tests, and interview strategies for Amazon roles.
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Algorithm Practice – Problem Set for Coding Interviews Open Resource ↗
Extensive collection of coding problems to sharpen algorithmic thinking for Amazon assessments.

Enrolled in a Bachelor's degree in Computer Science, Computer Engineering, Information Technology or related field; Minimum CGPA 6.5/10 (or equivalent); Expected graduation batch 2025‑2027; No active backlogs at the time of joining; Must be able to commit full‑time for the internship duration.

1
Round 1: Online Assessment (coding problems on data structures and algorithms)
2
Round 2: Technical Phone/Video Interview (system design and coding)
3
Round 3: Onsite/Virtual Interview (multiple technical rounds covering coding, design, and behavioral questions)
4
Round 4: HR/Recruiter Call (availability, compensation, and cultural fit)
Amazon, a global leader in e‑commerce, cloud computing, digital streaming and AI, has built its reputation on relentless customer obsession and a culture of innovation. With a presence in over 20 countries in India, Amazon operates massive fulfillment networks, data centers, and a suite of consumer‑facing services such as Prime, Alexa, and AWS. The company’s engineering teams are known for tackling problems at massive scale, delivering high‑throughput, low‑latency solutions that impact millions of users daily. As a fresher‑friendly employer, Amazon invests heavily in learning programs, mentorship, and internal mobility, enabling new graduates to grow into senior technical roles quickly. The Systems Development Engineer (SDE) Intern role is designed for bright engineering students who want to contribute to mission‑critical software that powers Amazon’s core services. Interns will work alongside seasoned engineers on real production code, participating in the full software development lifecycle—from requirement gathering and design to implementation, testing, and deployment. The internship spans a full‑time commitment of 12‑16 weeks, during which interns are expected to own end‑to‑end features, write production‑grade code, and collaborate in agile ceremonies. **Key Responsibilities** 1. Design, develop, and maintain scalable, multi‑tiered services that support Amazon consumer products. 2. Write clean, testable code in Java, C++ or Python and contribute to code reviews. 3. Build automation scripts and tooling to improve developer productivity. 4. Participate in performance tuning, profiling, and debugging of distributed systems. 5. Collaborate with product managers and UX teams to translate requirements into technical specifications. 6. Develop unit, integration, and system tests to ensure high reliability. 7. Document design decisions, APIs, and operational run‑books. 8. Assist in on‑call rotations and incident response for owned services. 9. Conduct research on emerging technologies and propose improvements. 10. Present project outcomes to senior leadership and gather feedback. **Tech Stack**: Java, C++, Python, Linux, Docker, Kubernetes, AWS services (EC2, S3, DynamoDB), RESTful APIs, SQL/NoSQL databases, Git, CI/CD pipelines. **Growth Path**: Successful interns are often offered full‑time SDE positions, with clear ladders from SDE I to Senior SDE, Principal Engineer, and beyond. Amazon’s internal mobility program allows engineers to shift across product teams, cloud services, and even hardware divisions, fostering a broad skill set. **Why Join Amazon**: Working at Amazon means exposure to problems at internet‑scale, mentorship from world‑class engineers, and a compensation package that includes a competitive stipend, housing allowance, and Amazon‑branded merchandise. The fast‑paced, data‑driven environment accelerates learning, and the company’s commitment to diversity and inclusion ensures a supportive workplace for all interns.

Amazon — Data Analytics & SQL 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 (Java, C++, Python, Object‑oriented design, Operating Systems, Data Structures, Algorithms, Distributed Systems, SQL, Problem solving, Communication) & 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.
What is the difference between WHERE and HAVING clauses in SQL? Answer ▼
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer ▼
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer ▼
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer ▼
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer ▼
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Amazon as a Systems Development Engineer Intern?
Preparation Tip: Highlight Amazon's market reputation, recent tech innovations, and how your skills in Java 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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