Amazon - Bellevue, WA

posted 3 months ago

Full-time - Mid Level
Bellevue, WA
1,001-5,000 employees
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

For millions of customers worldwide, the Amazon name is synonymous with delivery - and the Delivery Experience (DEX) team provides those customers with innovative ways to get what they want and need, enabling the choices they make on every order, every day. We combine customer impact with retail invention, solving huge technical challenges along the way. The DEX Regionalization Engineering team is responsible for developing and maintaining highly available, highly scalable, low-latency, Machine Learning based applications as well as building the ML platform with plenty of tools to solve the common pain points and speed up the development of ML solutions in DEX. This is SUPER high-visibility work: MILLIONS of customers will be impacted by your contributions: The changes we make directly impact the customer experience on every Amazon site. This is a great position for someone who likes backend development and Service Oriented Architecture, but wants to see and measure their direct impact on customers, and learns in the Machine Learning domain. As a Software Development Engineer for Delivery Experience, you will be responsible to develop Machine Learning based solution that improve the discoverability of delivery options for all customers, and utilize our current delivery experience architecture. To succeed, the skill to build highly scalable, fault-tolerant systems that can withstand millions of operations per day will not be enough. You will be responsible for projects that require enhancements to multiple systems, including many outside your team's ownership. You'll need a proven ability to architect elegant solutions to new challenges spanning multiple systems, and to effectively share your technical vision with others. You will be working with multiple teams across the company in many different areas, so collaboration skills are a must. So, if you're creative, talented, have a strong sense of both technical and business ownership, and enjoy solving complex challenges that have a huge impact on all of Amazon's customers, we've definitely got the role for you! Individuals interested in this position should have practical experience in building high-performance, reliable systems in a complex, multi-tiered, and distributed environment. The ideal candidate will have experience working with Java, C++, Python, or distributed computing technologies on Linux platform. 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience. Bachelor's degree in computer science or equivalent.

Responsibilities

  • Develop Machine Learning based solutions to improve the discoverability of delivery options for customers.
  • Utilize the current delivery experience architecture to enhance customer experience.
  • Architect elegant solutions to new challenges spanning multiple systems.
  • Collaborate with multiple teams across the company to implement solutions.
  • Build highly scalable, fault-tolerant systems capable of handling millions of operations per day.

Requirements

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture experience (design patterns, reliability, and scaling).
  • Experience programming with at least one software programming language (Java, C++, Python).
  • Practical experience in building high-performance, reliable systems in a complex, multi-tiered, and distributed environment.
  • 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
  • Bachelor's degree in computer science or equivalent.

Nice-to-haves

  • Experience with distributed computing technologies on Linux platform.
  • Strong collaboration skills to work with multiple teams.

Benefits

  • Equity and sign-on payments as part of total compensation package.
  • Full range of medical, financial, and/or other benefits.
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