Amazon Careers: SDE I...

Codingcircle

India

Remote

INR 893,000 - 1,228,000

Full time

2 days ago

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Benefits offered by this job

Relocation allowance

Internet allowance

Employee discounts

Job summary

Amazon ADCI – Amazon Development Centre India invites applications for a 6-month SDE I Internship for 2027 graduates. The program pairs interns with 1:1 mentors, delivering production-grade code for real customer-facing products in distributed systems, AWS cloud, automation, scalability, and security.

Interns work 40 hours/week, in-person across India hubs, with a competitive monthly stipend and potential relocation assistance, internet allowance, and employee discounts.

Qualifications

Target Cohort: Currently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or a related technical field with Graduation Year 2027.
Core CS Fundamentals: Strong understanding of Data Structures, Algorithms, Object-Oriented Design (OOD), Operating Systems, and Time/Space Complexity Analysis.
Programming Languages: Hands-on proficiency in at least one core language: Java, C/C++, Python, or Perl.

Responsibilities

Architectural Design & Coding: Design and build innovative software solutions within high-scale, low-latency, and distributed computing environments.
Storage & Indexing Systems: Build scalable, fault-tolerant, low-cost distributed storage, index, and query processing pipelines.
Predictive Computing at Scale: Implement algorithms and solutions to run predictions and high-speed data processing on distributed platforms.
Agile Delivery: Work in an agile development environment to deliver maintainable, tested, and high-quality software.
Problem Solving: Translate broadly defined, ambiguous technical requirements into clear, clean software design and implementation.
Cross-Disciplinary Collaboration: Partner with senior SDEs, managers, and cross-functional teams while participating in professional growth activities and intern events.

Skills

Data Structures

Algorithms

OOD

C/C++

Java

Python

AWS

Distributed Systems

Job description

Amazon Careers: SDE I Intern 2027 (6 Months) | Job ID 10488368 | ADCI

Amazon India (PAN) Intern Fresher Not Disclosed Posted 2 months ago

Company :- Amazon (ADCI – Amazon Development Centre India)
Job Title :- SDE I Intern (Software Development Engineer)
Job ID :- 10488368
Org / Unit :- Amazon University Talent Acquisition
Duration & Commitment :- 24–26 Consecutive Weeks (6 Months), Full-Time (40 hrs/week)
Start Window :- January – June 2027
Graduation Cohort2027 Year of Graduation ONLYWork Model :- In-Person
Core Skills :- Data Structures, Algorithms, OOD, C/C++, Java, Python, AWS, Distributed Systems
Locations :- All India Locations (Bengaluru, Chennai, Hyderabad, Delhi, Mumbai, Pune)

Program Summary

The SDE I 6-Month Internship is Amazon’s flagship campus engineering program designed to match 2027 graduating students with 1:1 mentors and managers. Interns write production-grade code for real customer-facing products, solving complex challenges across distributed systems, AWS cloud infrastructure, automation, scalability, and security.

Key Responsibilities

Architectural Design & Coding: Design and build innovative software solutions within high-scale, low-latency, and distributed computing environments.
Storage & Indexing Systems: Build scalable, fault-tolerant, low-cost distributed storage, index, and query processing pipelines.
Predictive Computing at Scale: Implement algorithms and solutions to run predictions and high-speed data processing on distributed platforms.
Agile Delivery: Work in an agile development environment to deliver maintainable, tested, and high-quality software.
Problem Solving: Translate broadly defined, ambiguous technical requirements into clear, clean software design and implementation.
Cross-Disciplinary Collaboration: Partner with senior SDEs, managers, and cross-functional teams while participating in professional growth activities and intern events.

Qualifications & Candidate Eligibility

Basic Qualifications

Target Cohort: Currently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or a related technical field with Graduation Year 2027.
Core CS Fundamentals: Strong understanding of Data Structures, Algorithms, Object-Oriented Design (OOD), Operating Systems, and Time/Space Complexity Analysis.
Programming Languages: Hands-on proficiency in at least one core language: Java, C/C++, Python, or Perl.

Preferred Qualifications

Prior technical internship experience in software engineering.
Exposure to distributed, multi-tiered systems, relational databases, and microservices architecture.
Understanding of optimization mathematics (e.g., linear/nonlinear programming).
Ability to articulate technical challenges clearly and tackle ambiguous or undefined problems.

Internship Logistics & University Availability Guidelines

Program Summary

Distributed Systems & Engineering

Architectural Design & Coding: Design and build innovative software solutions within high-scale, low-latency, and distributed computing environments.
Storage & Indexing Systems: Build scalable, fault-tolerant, low-cost distributed storage, index, and query processing pipelines.
Predictive Computing at Scale: Implement algorithms and solutions to run predictions and high-speed data processing on distributed platforms.

Agile Execution & Mentorship

Agile Delivery: Work in an agile development environment to deliver maintainable, tested, and high-quality software.
Problem Solving: Translate broadly defined, ambiguous technical requirements into clear, clean software design and implementation.
Cross-Disciplinary Collaboration: Partner with senior SDEs, managers, and cross-functional teams while participating in professional growth activities and intern events.

Qualifications & Candidate Eligibility

Basic Qualifications

Target Cohort: Currently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or a related technical field with Graduation Year 2027.
Core CS Fundamentals: Strong understanding of Data Structures, Algorithms, Object-Oriented Design (OOD), Operating Systems, and Time/Space Complexity Analysis.
Programming Languages: Hands-on proficiency in at least one core language: Java, C/C++, Python, or Perl.

Preferred Qualifications

Prior technical internship experience in software engineering.
Exposure to distributed, multi-tiered systems, relational databases, and microservices architecture.
Understanding of optimization mathematics (e.g., linear/nonlinear programming).
Ability to articulate technical challenges clearly and tackle ambiguous or undefined problems.

Internship Logistics & University Availability Guidelines

[ Application & Screening ] ↓[ Online Assessment (OA) + Technical Interviews ] ↓[ Offer & University Availability Declaration Signed ] ↓[ 6-Month Full-Time Internship (Jan - Jun 2027) ] ↓[ Pre-Placement Offer (PPO) Evaluation for SDE-1 ]

Full-Time Commitment: Requires 40 hours per week for 24 to 26 consecutive weeks.
University Clearance: Candidates must submit a signed declaration from a competent authority at their university confirming full availability without conflicting classes, academic projects, or other employment.

Extra Value Additions & Candidate Guidance

Estimated Compensation & Stipend

Based on market standards for Amazon ADCI SDE Internships in India:

Monthly Internship Stipend: Typically ranges from ₹80,000 to ₹1,10,000 INR per month.
Additional Benefits: Relocation allowance/reimbursement (if relocating across hiring hubs like Bengaluru, Hyderabad, or Chennai), corporate internet allowance, and employee discounts.

Key Preparation Areas for Amazon Technical Screening

Data Structures & Algorithms (LeetCode Medium-Hard): Master Trees, Graphs, Dynamic Programming, Heap/Priority Queues, and Sliding Window algorithms.
Object-Oriented Design (OOD / LLD): Practice designing systems like Parking Lot, Elevator System, or BookMyShow using clean OOD principles.
Amazon Leadership Principles (LPs): Prepare STAR-format behavioral responses aligned with key LPs such as Customer Obsession, Ownership, Bias for Action, and Dive Deep.

Key Words for Resume

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Technical Keywords