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Amazon Software Development Engineer, AGI Data Services in Bellevue, Washington

Description

Amazon's Artificial General Intelligence (AGI) Team mission is to build the world’s best Artificial General Intelligence that will enable every Amazon business to deliver more value to its customers and benefits humanity. AGI foundational models and services can be used across all businesses at Amazon. AGI Data Services is a key part of AGI org providing data creation, curation, and analytics services to help develop, test, and train the AI models. This organization generates ground truth data which is used to train machine learning models. The team works with various data formats such as audio, video, and images, and packages this information to be used by internal stakeholders including data modeling and product teams.

We are looking for high caliber and tested Software Development Engineers to start a project with strategic significance and high exposure. In this initiative we will tackle some of the most intriguing problems in software architecture design and building highly scalable services.

Key job responsibilities

This role requires deep technical expertise, excellent leadership skills, and ability to hit the ground running. You will be responsible for solving algorithmically complex problems, front end and backend services that can scale to millions of requests and deployed globally delivering an exceptional customer experience. As innovators we embrace new technology, you will be empowered to choose the right highly scalable and available technology to solve complex problems.

If you enjoy designing and building highly distributed systems that can scale and solving challenging problems, come join us!

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA

Basic Qualifications

  • 3+ years of non-internship professional software development experience

  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

  • Experience programming with at least one software programming language

  • Strong fundamentals in core Computer Science areas like Object Oriented Design, Data Structures and Algorithms

  • Proficiency in at least one modern programming language such as C++, C#, Java, or Python

Preferred Qualifications

  • 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

  • Experience with Spring, MVC frameworks, REST/RPC API design and development

  • Experience with Big-data Analytics

  • Practical experience writing large scale service development including architectural decisions, language choices, frameworks and implementation

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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