Software Engineer

  • Amazon,
  • San Diego, CA
  • 11 hours ago
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Amazon
Full Time

Job Description

DESCRIPTION

Job summary
Amazon has hundreds of millions of customers, sellers, and developers all over the world that rely on Amazon products and services. Customer Trust and Partner Support (CTPS) is the organization that constantly makes high judgment decisions across a wide breadth of constituents. Preserving Trust in Amazon with every customer, every transaction, every second is our mission. We do this by identifying and removing bad actors from the platform, while supporting a best-in-class customer experience. We ensure that Amazon is a safe and trustworthy place to shop and an amazing place to build a successful business selling products.
As the Engineering team in CTPS organization, we create next-gen services ahead of the industry standard & cloud standard solutions with end-to-end highly automated and highly intelligent engineering solutions. We own & build environments that will drive speed, quality, and efficiency across CTPS and Amazon. Not only do we leverage industry leading technology, we innovate our own solutions that are ahead of the curve (and necessarily so to stay ahead of bad actors). We support many partners in this journey. We face constant trade-offs and competing objectives that we need to balance. We do all of this at high scale through technology and science. We are a large organization that leads on innovation in many areas, and so we play a critical role in helping Amazon more broadly beyond our own goals.
Key Responsibilities
-Develop large scale, high performance, high reliability systems.
-Work as the owner of the system and operate excellent to provide stable and robust services to customers and other teams.
-Innovate based on new ideas and build comprehensive system/features.

BASIC QUALIFICATIONS

• 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems.
• 2+ years of non-internship professional software development experience
• Programming experience with at least one software programming language.

PREFERRED QUALIFICATIONS

• Master's degree in Computer Science or equivalent with 2+ years of industry experience.
• Experience in Amazon Web Services
• Background in Machine learning (ML) a plus
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.

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.


Company Information

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.

Dice Id : amazon15
Position Id : 1983180
Originally Posted : 3 months ago

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