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Amazon Tech Stack

Global e-commerce and cloud infrastructure operating at massive scale

Software Development Seattle, WA 10,001+ employees Public Company
aboutamazon.com LinkedIn

Amazon operates a sprawling infrastructure spanning retail, logistics, cloud services, and advertising — all built on Java, C++, Python, and a deep AWS analytics stack (Redshift, EMR, Lake Formation, DataZone). Hiring velocity is accelerating with 513 roles posted in the last 30 days, heavily weighted toward operations (381 roles) and senior-level fills (317), reflecting the complexity of managing fulfillment networks, seller ecosystems, and supply-chain optimization across 20+ countries.

Tech Stack 159 technologies

Core StackSalesforce Java C++ Python Tableau AWS Marketo Redshift AWS Glue Figma Adobe Creative Cloud SAP SAP MM QlikView QuickSight XML DITA AWS EMR AWS Lake Formation AWS DataZone Amazon Advertising Oracle Business Intelligence Business Objects Cognos MicroStrategy SAP QM SAP EWM SAP PM SAP MES Microsoft Access+129 more

What Amazon Is Building

◆Challenges

  • Standardizing processes
  • Improving delivery experience
  • Maintaining safety and quality
  • Streamlining hr processes
  • Improving productivity and efficiency
  • Meeting customer delivery promises
  • Complex multi-million-dollar ops construction projects
  • Meeting business plan
  • Improving site effectiveness
  • Ensuring safety and quality

▲Active Projects

  • Lean initiatives
  • Process and system improvements
  • Automation of finance processes
  • Key automation projects
  • Expansion/retrofit projects
  • Transportation network optimization
  • Financial reports, forecasts, and kpi dashboards
  • Developing performance metrics for transportation
  • Improving seller experience
  • Inventory optimization initiative

Hiring Activity

Accelerating850 roles · 500 in 30d

Department

Ops
381
Operations
55
Finance
53
Sales
47
Engineering
43
Logistics
40
HR
38
Marketing
31

Seniority

Senior
317
Manager
233
Mid
171
Junior
51
Intern
28
Lead
26
Director
3
Principal
3

Notable leadership hires: Quality Assurance Lead, Business Development Lead, Operations Lead, Creative Director, Head of Payer Relations

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About Amazon

Amazon is a public company headquartered in Seattle, WA, operating in e-commerce retail, seller services, cloud computing (AWS), and advertising. The company serves shoppers, sellers, content creators, and developers globally. Engineering and data teams rely on a mature, enterprise-scale stack: Salesforce for CRM, Oracle and SAP for ERP and operations management, Redshift and AWS analytics tools for data warehousing and lake management, and Tableau/QuickSight for BI. Active projects center on transportation network optimization, inventory management, seller experience, and finance process automation. The organization is structured around operations, finance, sales, engineering, logistics, and HR, with significant investment in senior and manager-level hiring.

HeadquartersSeattle, WA
Company Size10,001+ employees
Hiring MarketsUnited States, India, Japan, United Kingdom, Canada, Singapore, Spain, Egypt

Frequently Asked Questions

What tech stack does Amazon use?

Amazon uses Java, C++, Python, Salesforce, AWS services (Redshift, EMR, Lake Formation, DataZone), Oracle, SAP modules (QM, EWM, MM, MES, PM), Tableau, QuickSight, and Adobe Creative Cloud for retail, logistics, and cloud operations.

What countries does Amazon hire in?

Amazon is actively hiring in 20 countries: United States, India, Japan, United Kingdom, Canada, Singapore, Spain, Egypt, Saudi Arabia, Australia, Mexico, Brazil, United Arab Emirates, Luxembourg, Italy, China, South Africa, Thailand, Israel, and Philippines.

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How this profile is built

Amazon's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.