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Amazon Software Dev Engineer Intern 
Israel, Tel Aviv District, Tel Aviv-Yafo 
558006737

10.06.2024
DESCRIPTION


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.
• Work in an agile environment to deliver high quality software.A day in the life
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, optimisation, scalability, and security – just to name a few.

BASIC QUALIFICATIONS

• Currently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related fields at time of application
• 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 optimisation
• Ability to effectively articulate technical challenges and solutions
• Adept at handling ambiguous or undefined problems as well as ability to think abstractly