As a Software Development Engineer (SDE) I Intern at Amazon, you will have the opportunity to work on impactful projects, collaborate with experienced engineers, and contribute to solving complex technical challenges. This six-month internship will provide you with hands-on experience in designing, coding, and developing innovative technologies in a large distributed computing environment.
Amazon is a multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. With a strong presence in India, Amazon offers a dynamic work environment that encourages innovation, customer obsession, and ownership. As a leader in the tech industry, Amazon provides opportunities for growth, learning, and development, making it an ideal place for freshers and experienced professionals alike.
Why required: C/C++ is required for building efficient and scalable software systems, which is critical for Amazon's distributed computing environment.
How recruiters evaluate: The recruiter will evaluate your proficiency in C/C++ by assessing your coding skills, data structures, and algorithms knowledge.
Why required: Python is used extensively at Amazon for building scalable and efficient software systems, data analysis, and machine learning.
How recruiters evaluate: The recruiter will evaluate your proficiency in Python by assessing your coding skills, data structures, and algorithms knowledge.
Why required: Object-Oriented Design is essential for building scalable and maintainable software systems, which is critical for Amazon's distributed computing environment.
How recruiters evaluate: The recruiter will evaluate your understanding of Object-Oriented Design principles, such as encapsulation, inheritance, and polymorphism.
Why required: Operating Systems knowledge is essential for building efficient and scalable software systems, which is critical for Amazon's distributed computing environment.
How recruiters evaluate: The recruiter will evaluate your understanding of Operating Systems concepts, such as process management, memory management, and file systems.
Why required: Algorithms knowledge is essential for building efficient and scalable software systems, which is critical for Amazon's distributed computing environment.
How recruiters evaluate: The recruiter will evaluate your proficiency in algorithms, such as sorting, searching, and graph algorithms.
Why required: Data Structures knowledge is essential for building efficient and scalable software systems, which is critical for Amazon's distributed computing environment.
How recruiters evaluate: The recruiter will evaluate your proficiency in data structures, such as arrays, linked lists, and trees.
Why required: Complexity Analysis is essential for building efficient and scalable software systems, which is critical for Amazon's distributed computing environment.
How recruiters evaluate: The recruiter will evaluate your understanding of complexity analysis concepts, such as Big O notation and time complexity.
Why required: Distributed Systems knowledge is essential for building scalable and efficient software systems, which is critical for Amazon's distributed computing environment.
How recruiters evaluate: The recruiter will evaluate your understanding of distributed systems concepts, such as communication protocols and synchronization techniques.
Why required: Relational Databases knowledge is essential for building efficient and scalable software systems, which is critical for Amazon's distributed computing environment.
How recruiters evaluate: The recruiter will evaluate your understanding of relational databases concepts, such as SQL and database design.
Why required: Linear Programming knowledge is essential for building efficient and scalable software systems, which is critical for Amazon's distributed computing environment.
How recruiters evaluate: The recruiter will evaluate your understanding of linear programming concepts, such as optimization techniques and constraint programming.
Why required: Nonlinear Optimization knowledge is essential for building efficient and scalable software systems, which is critical for Amazon's distributed computing environment.
How recruiters evaluate: The recruiter will evaluate your understanding of nonlinear optimization concepts, such as gradient descent and Newton's method.
Freshers who are passionate about software development and have a strong foundation in computer science fundamentals should apply.
Experienced professionals who are looking to transition to a new role or industry should apply.
Graduates who are looking for a challenging and rewarding internship experience should apply.
B.Tech students who are looking for a software development internship should apply.
MCA students who are looking for a software development internship should apply.
Diploma students who are looking for a software development internship should apply.
The average salary for a software development engineer in India is ₹15-20 lakhs per annum.
The average salary for a fresher software development engineer in India is ₹8-12 lakhs per annum.
The average salary for an experienced software development engineer in India is ₹20-30 lakhs per annum.
The salary for software development engineers in India is expected to grow by 10-15% per annum.
Design, develop, and test software systems to meet customer requirements.
Lead software development teams and mentor junior engineers to design, develop, and test software systems.
Lead technical teams and make technical decisions to drive business growth and innovation.
This course provides a comprehensive introduction to software development fundamentals, including programming languages, data structures, and algorithms.
This course provides a comprehensive introduction to cloud computing, including AWS services and architecture.
This course provides a comprehensive introduction to machine learning, including supervised and unsupervised learning, neural networks, and deep learning.
To succeed in this role, you should have a strong foundation in computer science fundamentals, be passionate about software development, and have excellent problem-solving skills.
The text below is preserved from the employer's listing for verification. CampusToCareer editorial content above is the primary guide for preparing your application.
SDE I Intern , Amazon University Talent Acquisition
Job ID: 10488368 | ADCI - Karnataka
Description
Software Development Engineer 6 months Internship – 2027 (In-Person)
Introduction
At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The intense focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our interns write real software and collaborate with a select group of experienced software development engineers (SDEs) who guide interns on projects that matter to our customers. As an intern, you will be matched to a manager and a mentor. You will have the opportunity to influence the evolution of Amazon technology and lead mission critical projects early in your career. Your design, code, and raw smarts will contribute to solving some of the most complex technical challenges in the areas of distributed systems, data mining, automation, optimization, scalability, and security – just to name a few. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting. Many of our technologies overlap, and you would be hard pressed to find a team that is not using Amazon Web Services (AWS), touching the catalogue, or iterating services to better personalize for customers. If this opportunity interests you, apply and come chart your own path at Amazon.
Job location
By applying to this position your application will be considered for all locations we hire for in India. This includes but is not limited to Bengaluru, Chennai, Hyderabad, Delhi, Mumbai and Pune.
Duration and Timelines
Amazon internships are full-time (40 hours/week) for 24 - 26 consecutive weeks (six months) with start dates between January - June 2027
Please note that Amazon internships require full-time commitment during the duration of the internship. During the course of internship, interns should not have any conflicts including but not limited to academic projects, classes or other internships/employment. Any exam related details must be shared with the hiring manager to plan for absence during those days. Specific team norms around working hours will be communicated by the hiring/ reporting manager at the time of commencement of internship. Candidates receiving internship will be required to submit declaration of their availability to complete the entire duration of internship duly signed by a competent authority at their University. Internship offer will be subjected to successful submission of the declaration.
Key job responsibilities
• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
• Design and build innovative technologies in a large distributed computing environment, and help lead fundamental changes in the industry.
• Create solutions to run predictions on distributed systems with exposure to innovative
technologies at incredible scale and speed.
• Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
• Ability to design and code the right solutions starting with broadly defined problems.
• Work in an agile environment to deliver high-quality software.
Basic Qualifications
Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis
Knowledge of programming languages such as C/C++, Python, Java or Perl
Currently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related field at time of application -Year of Graduation 2027
Preferred Qualifications
Previous technical internship(s).
Experience with distributed, multi-tiered systems, algorithms, and relational databases.
Experience in optimization mathematics such as linear programming and nonlinear optimization.
Effectively articulate technical challenges and solutions.
Adept at handling ambiguous or undefined problems as well as ability to think abstractly.
