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Madison, WI; Detroit, MI; Boston, MA; Austin, TX; Seattle, WA; Arlington, VA; Santa Clara, CA; Denver, CO; Minneapolis, MN
Source: Amazon careers · View original posting
From Amazon's posting. “We” and “our” refer to the employer.
Application deadline: Applications will be accepted on an ongoing basis
There’s a universe of opportunity at Amazon.
At Amazon, your career doesn’t follow a straight line. It accelerates, twists, and challenges you in ways you never expected. From the moment you join, you’re part of something big: building products or services that reach millions and shaping how people live, work, and connect every day. This is where your ideas turn into real impact.
You’ll work with world class tools, global platforms, and systems built to operate at an extraordinary scale. You’ll move fast, experiment and launch solutions that matter. With endless opportunities to explore across teams and roles, you’ll learn quickly, apply what you know and discover skills you didn’t know existed. This is an environment designed for builders who want to see the impact of their work in the world. Ready to start your adventure?
What’s in it for you?
With teams across the Amazon universe, you don’t have to choose one path too early. You’ll take ownership, build new skills, and shape a career that evolves as you do
Key job responsibilities
Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.
Break down complex, ambiguous problems into well-defined, solvable components before implementation.
Contribute to the design and development of scalable, reliable services, with distributed-systems scope varying by team.
Conduct code reviews as a core engineering practice, providing constructive feedback and validating correctness.
Contribute to clear and accurate technical documentation.
Use GenAI and AI-powered tools to enhance development productivity, and critically validate, verify, and integrate AI-generated code, exercising sound judgement about when to trust AI output.
Write clean, maintainable code following best practices and design patterns.
Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties.
Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.
Currently has, or is in the process of obtaining a bachelor's or master’s degree in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields
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