Software Development Engineer Internship

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Job Description

Batch : 2024 & 2025

Job ID: 2206316

We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.

How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.

Want to talk before joining the Batch ? Write us here in WhatsApp : CLICK HERE

Key job responsibilities

  • Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring to market innovative products and services.
  • 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.

About the team
If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as a graduate starter.

  • Competitive pay
  • At Amazon, most employees have the ability to become owners of the company through the granting and vesting of Restricted Stock Units (RSU’s)
  • Hybrid working (team dependent)
  • Dynamic work spaces, with free fruit!
  • Unlimited access to internal trainings
  • Care for your overall wellbeing, with support for your physical and mental health
  • Real opportunity to grow your career across the organization.

Internship start dates vary throughout the year.
Internship length can vary between 3-6 months

Applications and Assessment Process: Selected candidates will be invited to an online assessment, if successful you’ll attend a virtual interview consisting of a combination of interviews and case studies, focusing on our Leadership Principles. This selection process is subject to change and varies on role and location.

We are committed to diversity, equity, and inclusion, and leveraging our unique perspectives to scale our impact and grow. Amazon has 13 affinity groups (https://www.aboutamazon.com/affinity-groups), sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. With executive and company sponsorship, these groups play an important role in building internal networks for creating a community, advising Amazon business units, leading in service projects, and reaching out to communities where Amazonians live and work.

Want to know more about our opportunities? Visit our EMEA Student Programs Team Events page to register for one of our upcoming events: https://amazonstudentevents.splashthat.com/careers

BASIC QUALIFICATIONS

  • Currently enrolled in or will receive a Bachelor’s or Master’s Degree with a graduation date between September 2023 and December 2024.
  • Although no specific programming language is required – you should be familiar with the syntax of languages such as Java, C/C++ or Python
  • Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving and complexity analysis

PREFERRED QUALIFICATIONS

  • Previous technical internship(s) if applicable
  • Experience with distributed, multi-tiered systems, algorithms, and relational databases
  • Experience in optimization mathematics such as linear programming and nonlinear optimization
  • Ability to effectively articulate technical challenges and solutions
  • Adept at handling ambiguous or undefined problems as well as ability to think abstractly