Offers “Amazon”

Expires soon Amazon

Sr SDE

  • Internship
  • Seattle (King)
  • Sales

Job description



DESCRIPTION

Our goal is to build the most powerful and streamlined cart experience on the planet and we are searching for talented engineers to join our team.

Cart offers a broad spectrum of technical and user experience challenges. We value engineers from diverse backgrounds that can bring their experience to drive innovation in one of the most high-profile customer experiences within Amazon. Whether you like to focus on front-end, back-end or full-stack development Cart offers projects that leverage the strengths of what you bring to the team and offers opportunities for those wanting to learn something new.

We encourage collaboration across the disciplines within Cart. You will have the opportunity to work closely with product managers, UX designers and business intelligence engineers to innovate, measure, analyze and then refine the experiences we deliver to millions of customers across the planet on a daily basis.

As part of the Cart team you will have a strong drive for results, great interpersonal skills and be eager to collaborate in a fast-paced environment.

PREFERRED QUALIFICATIONS

- Experience in web-development, both front-end and back-end
- Experience delivering software in a service oriented architecture
- Experience delivering a product that has scaled to millions of users.
- Comfortable with modern SDLC processes: version control, agile development, code reviews, test-driven development, continuous deployment.
- Proficiency in at least one object-oriented, scripting or functional programming language.

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Desired profile



BASIC QUALIFICATIONS

- Bachelor’s Degree in software development related field, equivilent training or experience.
- Demonstrable professional experience in software development.
- Computer Science fundamentals in data structures, algorithm design, problem solving, and complexity analysis.

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