Software Dev Engineer II, Profit Intelligence

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 different 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?

Profit intelligence systems measures, predicts true profit(/loss) for each item as a result of a specific shipment to an Amazon customer. Prot Intelligence is all about providing intelligent ways for Amazon to understand profitability across retail business.

What are the hidden factors driving the growth or profitability across millions of shipments each day? Profit Intelligence provides these answers. We compute the profitability of each and every shipment that gets shipped out of Amazon. Guess what, we predict the profitability 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 finding 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 stuff 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 Senior Software Development Engineer to design and build AI-powered data platforms that transform large-scale business data into actionable insights.

You will work at the intersection of machine learning, distributed systems, and data engineering — owning end-to-end development of tools that help business leaders make faster, better decisions.

This is a high-impact role on a team where the software you ship directly shapes financial and operational strategy across Amazon.

Key job responsibilitiesKey job responsibilitiesArchitect and build scalable platforms that ingest, process, and serve insights from petabyte-scale datasetsIntegrate large language models and generative AI capabilities into internal analytics tools — enabling natural language querying, anomaly explanation, and automated reportingDesign ML pipelines for anomaly detection, forecasting, and trend analysis over structured and semi-structured business dataPartner with scientists, analysts, and PMs to translate ambiguous business problems into well-scoped technical solutionsDrive engineering excellence: define coding standards, lead design reviews, and set the bar for operational health (monitoring, oncall, runbooks)Mentor junior engineers; raise the technical capability of the team through clear documentation and code reviewOwn your services in production — you build it, you run itBuild 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.

Making it fully configurable and self-service for non-engineers. Build and evolve tools that empower Amazonians to access data and build reliable, scalable and configurable way to generate Unit Economics for all Amazon Businesses.

This includes UIs and frameworks for configuring 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 financial events around the company.