Amazon Development Centre Pvt. Ltd.

OPENS AT: Jul 06, 2022, 12:30 PM

CLOSES AT: Jul 27, 2022, 12:30 AM


Amazon SDE-II Challenge - Risk Evaluation System

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All shortlisted candidate profiles have been shared with the Amazon team, and they will contact candidates as per Scores and job fit.

Do you want to build products used every single day by your friends and family? Are you passionate about building products that impact millions of consumers? We are looking for Software Development Engineers (SDE-II), who will push the envelope to prevent fraudsters causing financial and reputational damage to Amazon, thrive on high levels of responsibility and have a start-up mindset. Software Development Engineers (SDEs) are the drivers of Amazon’s many tech innovations that are collectively transforming the way our customers live their lives and run their businesses. You will get opportunities to work with peta bytes of data, automate manual investigations using AI and DNNs, compute signals from internet data, develop Controlled Experiments (A/B testing) that operate at Amazon scale, operate a Tier-1 Service. You will be entrusted with a high degree of ownership and encouraged to take risks, experiment and learn quickly!

Come join the best-in-class team of engineers, who are owners, and inventors!

Please note: Candidates who have interviewed for any role at Amazon in the last 6 months or currently interviewing with Amazon will not be considered

Challenge Format: 10 MCQs and 2 programming questions (Language Restriction: Java/JS/Python) to be solved in 3 hours

Eligibility Criteria: 

  • Graduates with strong Computer Science fundamentals with 4+ years’ experience in software development
  • Willing to relocate to Bangalore


Experience: 4 years+
Compensation: Best in industry
Job Location: Bangalore


The mission of Unified Risk Evaluation  System  team (URES) is to use advanced technology to prevent fraudsters causing financial and reputational damage to Amazon. To achieve this mission, we evaluate 100s of interactions of Buying and Selling customers worldwide with Amazon, which adds up to 200+ Billion transactions a year. The software systems we own, enable ML scientists to deploy 100s of ML models using AWS Sagemaker to prevent fraudsters from doing damage to good customers or scamming Amazon, thus saving Billions of dollars to Amazon’s bottom-line and protecting customer trust. Our team has opportunities to build high performance distributed systems, services that scale to 20K TPS while evaluating transaction risk in less than 100ms, experiment with 100s of Deep Neural Networks, innovate technology solutions to create Machine Learning signals using internet data  and automate tasks that have been considered to require high human judgment. Our team owns the software systems that enable all Amazon businesses to prevent bad actor risk worldwide. You will learn to own and operate mission critical systems and receive guidance from Principal Engineers. Our team prides in raising the bar on engineering excellence, innovation, empowers engineers to create large impact, support career growth (we have SDEs who have become Principal Engineers) and enjoy work life harmony with remote work options.


  • 4+ years of non-internship professional software development experience developing products
  • Programming experience with at least one language - Java, Python, JavaScript
  • Strong in object-oriented design, data structures and design patterns
  • Experience in contributing to the architecture and design of new and current systems.
  • Good problem solving and ability to develop optimal algorithms
  • Attention to detail coupled with the ability to think abstractly
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Coaching and guiding cross-functional engineers
  • Bachelors or Master’s Degree in Computer Science or related field


  • Ability to take a project from scoping requirements to launch
  • Experience in microservices and cloud technologies
  • Excellent verbal and written English communication skills
  • Basic knowledge of Machine Learning (Optional)


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