Overview
Amazon.com's Risk Management Team has a worldwide reputation as the #1 in eCommerce Fraud Prevention. Trust and Safety of our customers comes first. We thrive on maintaining the highest bar of customer experience while we maintain those tenets. Do you want to join a team that works on internet scale systems, uses cloud computing services, leverages State of The Art technologies and Gen AI tools? The Core Services team owns the charter of evaluating bad actor risk of all kinds (Buyer, Seller, Brand, Vendor) across entities such as Orders, Returns, Sign-ins, Listings and any event that will be useful to evaluate risky behavior. We build self-service capabilities to experiment and launch new use cases while making it easy to on-board and manage existing ones all over the world. We are the gate keepers of customer trust by preventing bad actors from doing damage to good customers or scamming
Full job description
Full Job Description
Amazon.com's Risk Management Team has a worldwide reputation as the #1 in eCommerce Fraud Prevention. Trust and Safety of our customers comes first. We thrive on maintaining the highest bar of customer experience while we maintain those tenets. Do you want to join a team that works on internet scale systems, uses cloud computing services, leverages State of The Art technologies and Gen AI tools? The Core Services team owns the charter of evaluating bad actor risk of all kinds (Buyer, Seller, Brand, Vendor) across entities such as Orders, Returns, Sign-ins, Listings and any event that will be useful to evaluate risky behavior. We build self-service capabilities to experiment and launch new use cases while making it easy to on-board and manage existing ones all over the world. We are the gate keepers of customer trust by preventing bad actors from doing damage to good customers or scamming Amazon. The problems we solve will challenge the best in terms of scale (100s of billion evaluations) and latency (think milliseconds) while operating at the lowest cost As the Software Development Engineer, you will design, enhance and maintain mission critical systems leveraging best of breed technologies with AI first mindset. Successful candidates will be strong leaders who have a hunger to learn, are righteous owners, demonstrate superior deep dive and problem-solving skills, communicate clearly, and have a consistent track record of delivery.
Key job responsibilities
- Work on systems protecting millions of customers daily
- Design, enhance and maintain various microservices that are part of risk evaluation systems
- Improve onboarding and operating experience leveraging Gen AI technologies
- Reduce time taken and cost of risk evaluation leveraging best of breed industry technologies
- Participate in on-call rotation for critical systems
- Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical approaches, meet timelines with optimal solutions
Basic Qualifications
- 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Requirements & qualifications
5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Tips for this job
Practical JobOpportunity guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
Public Amazon careers search record with employer description and structured locations.
JobOpportunity is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Apply through JobOpportunity →