2023 Software Development Engineer Internship

Job Description

Batch – 2024

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.

Key job responsibilities
Collaborate with experienced cross-disciplinary Amazonian’s 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 an intern.

• Competitive pay
• Impactful project and internship/role deliverables
• Hybrid working (team dependent)
• Networking opportunities with fellow interns
• Internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions.
• Mentorship and career development

If you’re successful during your internship, you could be considered for a graduate role after finishing your university studies

Internship start dates vary throughout the year.
Internship length can vary between 3 to 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.
• Excellent problem solving skills.
• Possess an extremely sound understanding of areas in the basic areas of Computer Science such as Algorithms, Data Structures, Object Oriented Design, Databases.
• Be able to write Amazon quality code in an object oriented language – preferably in C/C++/Java in a Linux environment.
• Candidate must have good written and oral communication skills, be a fast learner and have the ability to adapt quickly to a fast-paced development environment.

PREFERRED QUALIFICATIONS

• Strong, object-oriented design and coding skills (C/C++ and/or Java preferably on a UNIX or Linux platform)
• Knowledge of Perl or other scripting languages a plus
• Experience with distributed (multi-tiered) systems, algorithms, and relational databases
• Experience in optimization mathematics (linear programming, nonlinear optimization)
• Ability to effectively articulate technical challenges and solutions
• Deal well with ambiguous/undefined problems; ability to think abstractly
• Previous technical internship(s) preferred