Job Description

DESCRIPTIONDo you want to work in Advertising, solving an industry-defining problem using cutting edge technology, working at the intersection of Engineering and Science?Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. The Ad Optimization group in Bangalore has the charter to build data-science focused products and platforms for Amazon Advertising. One of our key focus areas is Traffic Quality where we endeavor to identify non-human and invalid traffic within programmatic ad sources, and weed them out to ensure a high-quality advertising marketplace. We do this by building machine learning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of traffic. The challenge is to stay one step ahead by investing in deep analytics and developing new algorithms that address emergent attack vectors in a structured and scalable fashion. We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides state-of-the-art traffic filtering that preserves advertiser trust and saves them hundreds of millions of dollars of wasted spend.Traffic quality systems process billions of ad-impressions and clicks per day by leveraging cutting-edge open source technologies like Hadoop, Spark, Redis and Amazon\'s cloud services like EC2, S3, EMR, DynamoDB and RedShift. We are looking for a dynamic and innovative engineer to lead the design, development and deployment of real-time and offline algorithms. You will own the heuristics algorithms pipelines, feature generation infrastructures, model inference libraries and systems to monitor the quality of detection across various dimensions. You will also own big data infrastructures that analyze terabyte scale data to identify sophisticated robotic activity after-the-fact. As an SDE2, you will be responsible for designing, developing and evolving the architecture of these systems, collaborating with the team for software development lifecycle activities and mentoring other engineers.Key job responsibilities
1. Design and code right solutions starting with broadly defined problems.
2. Drive best practices and engineering excellence.
3. Work with other team members to develop the architecture and design of new and current systems.
4. Work in an agile environment to deliver high quality software.We are open to hiring candidates to work out of one of the following locations:Bengaluru, KA, INDBASIC 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 languagePREFERRED 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 working with functional languages such as python, scala.
- Experience in working with big & distributed data problems, and solutions.

Amazon