Software Dev Engineer I, Amazon University Talent Acquisition

1 Month ago • Upto 2 Years • Full Stack Development • Frontend Development • Backend Development

Job Details

DESCRIPTION

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The 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 Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon.

Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications


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.

• Design and code the right solutions starting with broadly defined problems.

• Work in an agile environment to deliver high-quality software.


BASIC QUALIFICATIONS

- Bachelor's degree or above in computer science, computer engineering, or related field

- Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis.

- Knowledge of programming languages such as C/C++, Python, Java or Perl


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.



Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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About The Company

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.


Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.


Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.


You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

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