Shape the future of profit intelligence at Amazon by building sophisticated data systems from the ground up. This role offers a unique opportunity to collaborate with a multidisciplinary team, including Applied Scientists, Big Data Engineers, and fellow Software Development Engineers.

You'll contribute to key Amazon pillars like Pricing, Promotions, Advertising, and Inventory Management. This is a chance to work on impactful systems with a strong emphasis on work-life balance.

Profit Intelligence systems are designed to measure and predict the true profitability of every item shipped to Amazon customers. We provide critical insights into the hidden factors driving profitability across millions of daily shipments, empowering Amazon's retail business with intelligent data-driven answers.

Join a team of agile, can-do engineers who thrive on challenging conventional thinking and taking calculated risks. We prioritize innovative ideas and practical execution over rigid processes, fostering an environment for exploration and innovation. Embrace the opportunity to push the boundaries of cloud services, distributed systems, forecasting algorithms, and data mining.

Develop and maintain our core data infrastructure, leveraging a comprehensive suite of AWS services including Redshift, S3, Step Functions, Glue, Spark, Flink, and Kinesis.

Design and implement scalable, reliable, and multi-tenant ingestion pipelines that process data from diverse sources like SNS Topics, Postgres, DynamoDB, MySQL, and APIs in both batch and streaming modes.

Create and enhance tools enabling Amazonians to access data and generate Unit Economics. This includes developing user interfaces, configuration frameworks, approval workflows, and high-throughput APIs for historical data and predictions.

Build robust systems for end-to-end data security and governance, managing access controls, tracking data quality, cataloging datasets and their lineage, detecting duplication, and ensuring data integrity.

Take ownership of designing and constructing platforms capable of processing hundreds of terabytes of incoming financial data from numerous company-wide sources.

Possess a minimum of 3 years of professional software development experience beyond internships.

Demonstrate at least 2 years of experience in designing or architecting new and existing systems, with a strong understanding of design patterns, reliability, and scaling principles.

Bring at least 3 years of experience specifically within the Video Games Industry, supporting title development, release, or live operations.

Exhibit proficiency in at least one software programming language.

Experience with the full software development lifecycle, including coding standards, code reviews, source control, build processes, testing, and operations, is highly preferred.

A Bachelor's degree in Computer Science or a related field is preferred.