Software Development Engineer, Buyer Abuse Prevention

Amazon

Bengaluru

On-site

INR 600,000 - 1,800,000

Full time

14 days+

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Job summary

Join a forward-thinking company as a Software Development Engineer in the Buyer Abuse Prevention team. This role offers the chance to work with cutting-edge technology, including machine learning and big data analytics, to build sophisticated systems that protect customers and enhance their experience. You will contribute to developing highly scalable, distributed systems that address abuse patterns, ensuring the integrity of customer interactions. If you are passionate about software development and eager to make a significant impact in a dynamic environment, this opportunity is perfect for you.

Qualifications

  • 3+ years of professional software development experience.
  • Experience in design patterns and system architecture.

Responsibilities

  • Architect and build systems to prevent abuse of customer policies.
  • Develop scalable systems that detect abusive patterns in transactions.

Skills

Software Development
Design Patterns
Machine Learning
Data Mining
Cloud Computing
Big Data Analytics

Education

Bachelor's degree in Computer Science

Tools

Source Control Management
Testing Tools

Job description

Software Development Engineer, Buyer Abuse Prevention

Want to join a team that saves tens of millions of dollars per year for Amazon, and uses cutting edge technology, including machine learning and statistical modeling techniques, data mining and big data analytics, cloud computing services, and highly available/scalable distributed systems that support hundreds of millions of transactions across the globe? We have an exciting opportunity within the Abuse Prevention team to architect and build the next generation of engineering systems to address abuse of Amazon's customer-first policies that will impact multiple Amazon businesses across the globe.

About the Amazon Buyer Risk Prevention Team:
The BRP (Buyer Risk Prevention) team has a worldwide reputation as the #1 in eCommerce Fraud and Abuse Prevention. Trust and Safety of our customers comes first. Always! We thrive on maintaining the highest bar of customer experience while we deliver on those tenets. The Buyer Abuse Engineering Team, a group within BRP, strives to protect Amazon businesses exposed to customer abuse while maintaining the highest level of customer experience for our good customers. This means building highly sophisticated, data-centric systems that can detect abusive patterns across millions of transactions. We build highly scalable, flexible and distributed systems that utilize the power of data at every step - compute predictive variables, build models using machine learning algorithms and plug into different pipelines to prevent abusive transactions from taking place. As Amazon businesses grow and abusers morph to find new ways to take undue advantage of our liberal policies, our engineers and data scientists are constantly innovating to stay ahead of the game and protect Amazon and our customers.

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

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information.

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.

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