Software Dev Engineer, Profit Intelligence

Overview

- 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 - 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience - Experience programming with at least one software programming language
Are you interested in building intelligence systems from the ground up? Are you interested in working with Applied Scientists, Big Data Engineers and Software Development Engineers to build large-scale data intelligence systems? Are you interested to work in a team that positively impacts dierent key pillars of Amazon like Pricing, Promotions, Advertising, Auto inventory purchasing, Auto inventory removal, Inventory placement? Are you interested in working for a team that builds cool systems yet has great work-life balance? Prot intelligence systems measures, predicts true prot(/loss) for each item as a result of a specic shipment to an Amazon customer. Prot Intelligence is all about providing intelligent ways for Amazon to understand protability across retail business. What are the hidden factors driving the growth or protability across millions of shipments each day? Prot Intelligence provides these answers. We compute the protability of each and every shipment that gets shipped out of Amazon. Guess what, we predict the protability of future possible shipments too. We are a team of agile, can-do engineers, who believe that not only are moon shots possible but that they can be done before lunch. All it takes is nding new ideas that challenge our preconceived notions of how things should be done. Process and procedure matter less than ideas and the practical work of getting stu done. This is a place for exploring the new and taking risks. We push the envelope in using cloud services in AWS as well as the latest in distributed systems, forecasting algorithms, and data mining. We are looking for a Software Development Engineer who can build complex software solutions to enable large scale and complex stream processing that involves application of simple allocations to complex ML Models. You will work together with a highly multi-disciplinary team of Applied scientist, software development engineers, strategic partners, product managers and subject domain experts. As a software development engineer on this team, you will play a pivotal role in shaping the denition, vision, design, roadmap, and development of this set of product features from beginning to end. Key job responsibilities - Build and operate our foundational data infrastructure comprising of the entire spectrum of AWS Services - Storage (Redshift Data Shares, s3 data lakes), Orchestration (Step Functions, Glue and Internal Java Based Orchestration Tools), Processing (Spark & Flink - KDA), Streaming services (AWS Kinesis) and real-time large scale event aggregation stores. - Build and scale our ingestion pipeline for scale, speed, reliability and multi tenancy. Read from a variety of upstream systems (SNS Topics, Postgres, DynamoDB, MySQL, APIs), in both batch and streaming fashion, including change data capture. Making it fully congurable and self-service for non-engineers. - Build and evolve tools that empower Amazonians to access data and build reliable, scalable and congurable way to generate Unit Economics for all Amazon Businesses. This includes UIs and frameworks for conguring rules, simulating their application, approval workows for rule changes, APIs and caching layers for high-throughput serving of Unit Economics Historicals and Predictions. - Build systems that secure and govern our data end to end: control access across multiple storage and access layers (like inhouse Reporting Applications and BI tools), track data quality, catalogue datasets and their lineage, detect duplication, audit usage and ensure correct data semantics. - You will be responsible for designing and building platforms for crunching 100s of TB of in-coming data from dozens of sources and nancial events around the company. To learn more about Financial Intelligence Systems, visit our page at http://bit.ly/AmazonFIS