PayPal tech stack
PayPal builds mostly with Python, SQL, Java, JavaScript. Its stack also includes AWS, GCP, Redis, Google BigQuery. Python is named in 134 of the 316 job postings PayPal published in the last 12 months (42%). Counted by Alion from the job postings of PayPal, updated Nov 12, 2026.
What programming languages does PayPal use?
Python is named in 42% of job postings at PayPal, followed by SQL (32%), Java (30%), JavaScript (13%).
Python
134 42%
SQL
100 32%
Java
96 30%
JavaScript
40 13%
Go
34 11%
TypeScript
15 5%
Node JS
14 4%
Scala
12 4%
Show all (18)
What frameworks and libraries does PayPal use?
Scikit-learn is named in 5% of job postings at PayPal, followed by TensorFlow (5%), React.js (5%), PyTorch (4%).
Scikit-learn
17 5%
TensorFlow
17 5%
React.js
15 5%
PyTorch
14 4%
Hazelcast
13 4%
Hadoop
12 4%
LangChain
11 3%
Spring Boot
10 3%
Show all (55)
And 15 more, each named in fewer postings.
What databases does PayPal use?
Redis is named in 8% of job postings at PayPal, followed by Google BigQuery (7%), MySQL (5%), Google Bigtable (3%).
Redis
26 8%
Google BigQuery
21 7%
MySQL
15 5%
Google Bigtable
11 3%
Oracle
9 3%
DynamoDB
9 3%
Amazon Aurora
7 2%
ElasticSearch
6 2%
Show all (20)
What cloud and platforms does PayPal use?
AWS is named in 35% of job postings at PayPal, followed by GCP (29%), Azure (21%), Kubernetes (18%).
AWS
111 35%
GCP
91 29%
Azure
65 21%
Kubernetes
57 18%
Apache Kafka
41 13%
Tableau
35 11%
Datadog
32 10%
Spark
28 9%
Show all (56)
And 16 more, each named in fewer postings.
What developer tools does PayPal use?
Terraform is named in 22% of job postings at PayPal, followed by Rest API (15%), Docker (10%), Microsoft Excel (9%).
Terraform
68 22%
Rest API
48 15%
Docker
33 10%
GraphQL
20 6%
Model Context Protocol
17 5%
CloudFormation
16 5%
Git
15 5%
Show all (41)
And 1 more, each named in fewer postings.
What AI and ML technologies does PayPal use?
LLM is named in 9% of job postings at PayPal, followed by Claude (2%), LoRA (1%), PEFT (1%).
Which engineering practices does PayPal ask for?
CI/CD is named in 21% of job postings at PayPal, followed by AI Agents (13%), Machine Learning (11%), A/B Testing (6%).
CI/CD
65 21%
AI Agents
42 13%
Incident Management
16 5%
Platform Engineering
12 4%
RAG
12 4%
SLI/SLO/SLA
10 3%
Show all (52)
And 12 more, each named in fewer postings.
What other technologies does PayPal use?
Kotlin Coroutines is named in 1% of job postings at PayPal.
Kotlin Coroutines
4 1%
What does each PayPal team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
91 postingsData Science
33 postingsAI/ML
26 postingsDevOps
24 postingsProduct
24 postingsHow does your stack fit PayPal?
How much does PayPal pay by technology?
Median stated pay of the postings that name each technology, against the median of all PayPal postings with stated pay: $222k across 148 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 67 | $222k | 0% |
| AWS | 56 | $239k | +8% |
| SQL | 53 | $213k | −4% |
| Java | 45 | $213k | −4% |
| GCP | 35 | $239k | +8% |
| Kubernetes | 28 | $213k | −4% |
| Azure | 26 | $259k | +17% |
| Apache Kafka | 22 | $262k | +18% |
| Tableau | 20 | $221k | 0% |
| Datadog | 20 | $196k | −11% |
How is the PayPal stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the PayPal stack?
PayPal scores 82 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 8; legacy ones: 0.
How common is the PayPal stack in its industry?
Share of the 915 companies in the same industries, whose stack Alion knows, that use each technology.
What sets PayPal apart
Companies with a stack like PayPal
Deutsche Telekom Digital Labs
168 shared technologies
Cornerstone OnDemand
145 shared technologies
eBay
158 shared technologies
TransUnion
177 shared technologies
Fractal
170 shared technologies
Workday
148 shared technologies
Intuit
171 shared technologies
Minfy Technologies
144 shared technologies
Questions about the PayPal tech stack
What programming languages does PayPal use?
The languages named in PayPal job postings are Python (42%), SQL (32%), Java (30%), JavaScript (13%), Go (11%), as a share of the 316 postings of the last 12 months.
Does PayPal use Scikit-learn?
Yes. Scikit-learn is named in 17 of 316 job postings (5%) and required in 10 of them.
What cloud and platforms does PayPal use?
The cloud and platforms named in PayPal job postings are AWS (111), GCP (91), Azure (65) (postings in brackets).
What skills do you need for a Backend job at PayPal?
Backend postings at PayPal most often require Java (14), Python (12), SQL (11), Kubernetes (8), out of 91 postings in the last 12 months.
Is the PayPal tech stack changing?
Yes. Core Bluetooth, ActiveMQ, Braze, Cypress first appeared in PayPal job postings in the last six months.
How modern is the PayPal tech stack?
PayPal scores 82 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 8; legacy ones: 0.
How does Alion know the PayPal tech stack?
Alion reads every job posting PayPal publishes and tags the technologies each one names. The figures on this page count the 316 postings of the last 12 months and were updated on Nov 12, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "PayPal tech stack: 251 technologies from 316 job postings", as of Nov 12, 2026. https://alion.io/company/paypal/technologies