Amazon Business Tech Stack

B2B procurement platform simplifying business purchasing at scale

Retail Seattle 10,001+ employees Public Company

Amazon Business operates a B2B procurement platform serving organizations of all sizes. The tech stack is heavily weighted toward data warehousing and analytics (Redshift, Tableau, Qlik, QuickSight, Power BI) with significant ML infrastructure (Python, Spark, Hadoop, EMR) — reflecting the volume of transactional and behavioral data flowing through the platform. Active hiring is engineering-heavy, concentrated in India and the United States, while projects center on ML-driven shopping experiences, fraud prevention, and resource optimization, suggesting investment in both customer-facing personalization and internal cost management.

Tech Stack 42 technologies

Core StackTableau Power BI Python Java Redshift Oracle PL/SQL Scala Hadoop Apache Spark Informatica AWS DynamoDB Google Analytics C++ Qlik Amazon QuickSight Excel MicroStrategy R QlikView QuickSight SQL MDX HiveQL Spark SQL Hive AWS EMR Amazon Redshift HTML+10 more

AdoptingPinterest Snapchat

What Amazon Business Is Building

◆Challenges

Budgeting hardware resources
Maximizing profitability and growth
Improving shopping experience
Fraud detection
Improving sales sustainability
Low cost translation
Protecting millions of transactions
Risk prevention
Optimizing vendor pricing
Optimizing category merchandising

▲Active Projects

Hardware resource modeling for slas
Next-generation risk prevention systems
Performance data analysis
Image translation system development
Post-training instruction tuning
Automating resource planning tools
Llm and vlm post-training and alignment for new shopping experiences
Fraud detection system
Next generation large language models
Scaling ml systems for large-scale training

Hiring Activity

Accelerating45 roles · 25 in 30d

Department

Engineering

Data

Product

Ops

Sales

Marketing

Research

Seniority

Senior

Mid

Manager

Junior

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About Amazon Business

Amazon Business is a B2B procurement platform designed to streamline purchasing for businesses ranging from startups to enterprises. The platform operates at significant scale, with hiring distributed across nine countries and engineering concentrated in India and the United States. The product focus spans transaction security (fraud detection, risk prevention), search and discovery (image translation, language model alignment for shopping), and operational efficiency (resource planning, vendor pricing optimization). Pain points tracked internally include hardware budgeting, transaction protection at scale, and category merchandising — consistent with a platform managing millions of transactions and optimizing both buyer experience and seller economics.

HeadquartersSeattle

Company Size10,001+ employees

Hiring MarketsIndia, Egypt, Japan, South Africa, United States, Saudi Arabia, Mexico, Canada

Frequently Asked Questions

What tech stack does Amazon Business use?

Data: Redshift, Oracle, DynamoDB. Analytics: Tableau, Qlik, QuickSight, Power BI. Processing: Python, Java, Scala, Spark, Hadoop, EMR. Analytics languages: SQL, PL/SQL, HiveQL, MDX. Also uses AWS infrastructure and Google Analytics.

What countries is Amazon Business hiring in?

India, Egypt, Japan, South Africa, United States, Saudi Arabia, Mexico, Canada, and United Arab Emirates. Engineering and data roles are primary focus areas.

What is Amazon Business working on?

LLM and VLM post-training for shopping experiences, fraud detection and risk prevention systems, hardware resource modeling, image translation, ML system scaling, and automating resource planning and vendor optimization tools.