What Tech Stack Does Amazon Use?

What tech stack does Amazon use? AWS end to end, Java and Python heavy services, DynamoDB, internal tooling, and its postings name what each team runs.

Dvir Atias

Founder, JobsPipe

What tech stack does Amazon use? In broad strokes, its own cloud. Amazon’s retail and consumer systems run on AWS services, its backend services are heavily Java with a large Python footprint, DynamoDB and Aurora sit under much of the transactional data, and a great deal of the tooling is internal. The detail lives in its job postings.

How to find out what tech stack Amazon uses

Start with what is public. Amazon has said publicly that it moved its consumer businesses off Oracle databases onto AWS services such as DynamoDB and Aurora, and its engineering talks describe internal build and deployment tools rather than off the shelf ones. Treat any more specific list you find online as a guess unless Amazon published it.
Read the postings. Amazon’s own listings name what each team runs, and there are enough of them that a per-team picture emerges: Java and Python for services, TypeScript and React on web front ends, Kotlin and Swift on mobile, Go and Rust in infrastructure teams. In the JobsPipe corpus, Amazon.com or Amazon Web Services is among the employers with the most active postings naming Python, AWS, SAP, Salesforce, Power BI, Java, React, TypeScript, Tableau and Figma, among others.
Split by team. Retail, AWS, Ads, Devices and Prime Video hire against different stacks. Filter postings by team keywords in the title or description before you generalise, or you will average a warehouse robotics team with a storefront team. The AWS organisation alone spans database, networking, silicon and machine learning teams, each with its own languages and tooling.
Check the scan. A website scan of amazon.com shows the front-end and marketing layer only. It is useful for the CDN, analytics and tag manager, not for what the services run on, which is the part most people asking this question want.
Compare against demand. Whether Amazon’s stack is the one to learn is a different question. The chart below shows which technologies are named most often across all active postings on the boards JobsPipe collects.

Python4.7%
AWS3.1%
SAP2.9%
Microsoft Azure2.8%
Salesforce1.9%
Power BI1.8%
Java1.7%
Google Cloud1.7%
Kubernetes1.5%
React1.3%

Share of active postings whose text names each technology, all collected boards. A posting can name several technologies, so shares do not sum to 100%. Generated 2026-09-09.

How this was measured

Measured from active postings on the ten collected boards whose text names the technology (deduplicated by posting id). Generated 2026-09-09. Shares only: JobsPipe publishes percentages, not counts.

Technologies are matched in posting text and deduplicated by posting id, so a posting that names a technology twice counts once. Company rows list the employers with the most active postings naming each technology, which is the basis of the Amazon rank statement above. Reproduce the Amazon cut for one technology with the request below.

curl -X POST https://api.jobspipe.dev/v1/jobs/search \
  -H "Authorization: Bearer $JOBSPIPE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"company_name_or":["Amazon"],"skills_or":["python"],"status":"active","limit":25}'

The per-technology pages carry the same cut by industry, country and company size, starting with companies using AWS and companies using Python. If the term itself is the question, what a tech stack means in business is the short answer.

Where JobsPipe fits

JobsPipe is a jobs data API. It collects live postings from LinkedIn, Indeed, Y Combinator, Naukri, Workday, Greenhouse, Workable, SmartRecruiters, Ashby, Lever and Paylocity, returns them as one schema with closure tracking and a ghost score, and includes a free tier of 1,000 jobs a month at jobspipe.dev. Every record carries technology_slugs, so a search with company_name_or set to Amazon and job_title_or set to the team you care about returns the stack that team is hiring for, and status set to any adds the roles it has recently closed.

Read any company’s stack from what it is hiring for. Free tier included.

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FAQs

Frequently Asked Questions

What tech stack does this website use?

Run a website scan. JobsPipe's free stack scanner at jobspipe.dev/stack and the POST /v1/stack/scan endpoint read the page and combine it with the company's job postings; agents can call the detect_company_tech_stack tool on the MCP server. The page tells you the front-end and marketing layer, the postings tell you what runs behind it.

Which tech stack is in demand?

Across active postings on the boards JobsPipe collects, the technologies named most often are Python (4.7%), AWS (3.1%) and SAP (2.9%), measured as the share of active postings whose text names each one as of 2026-09-09. Shares are cross-sectional and do not sum to 100% because a posting can name several technologies.

Does Amazon use AWS for everything?

Amazon has said publicly that its consumer businesses run on AWS and that it retired its Oracle databases in favour of AWS services such as DynamoDB and Aurora. Beyond that, the mix varies by team and much of the tooling is internal, so treat any exhaustive list as unverified unless Amazon published it.

Does Amazon use Java or Python?

Both, and its own postings show which teams use which. Java dominates backend services and Python is common in data, machine learning and tooling roles, with TypeScript, Kotlin, Swift, Go and Rust appearing in web, mobile and infrastructure teams. A posting search filtered to Amazon and a team keyword gives the current picture.

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