Mastercard tech stack
Mastercard builds mostly with SQL, Python, Java, JavaScript. Its stack also includes AWS, Azure, Spring Boot, Hadoop. SQL is named in 261 of the 801 job postings Mastercard published in the last 12 months (33%). Counted by Alion from the job postings of Mastercard, updated Sep 26, 2026.
What programming languages does Mastercard use?
SQL is named in 33% of job postings at Mastercard, followed by Python (30%), Java (23%), JavaScript (9%).
SQL
261 33%
Python
242 30%
Java
188 23%
JavaScript
73 9%
TypeScript
46 6%
C#
22 3%
Scala
20 2%
Go
19 2%
Show all (27)
What frameworks and libraries does Mastercard use?
Spring Boot is named in 10% of job postings at Mastercard, followed by Hadoop (7%), Angular (4%), React.js (4%).
Spring Boot
79 10%
Hadoop
54 7%
Angular
35 4%
React.js
30 4%
TensorFlow
29 4%
PyTorch
27 3%
LangChain
23 3%
LangGraph
21 3%
Show all (76)
And 36 more, each named in fewer postings.
What databases does Mastercard use?
PostgreSQL is named in 6% of job postings at Mastercard, followed by Oracle (5%), Snowflake (4%), Redis (3%).
PostgreSQL
49 6%
Oracle
40 5%
Snowflake
34 4%
Redis
24 3%
Cassandra
12 1%
Delta Lake
12 1%
Db2
8 1%
MySQL
8 1%
Show all (29)
What cloud and platforms does Mastercard use?
AWS is named in 23% of job postings at Mastercard, followed by Azure (21%), Power BI (15%), Tableau (15%).
AWS
186 23%
Azure
167 21%
Power BI
123 15%
Tableau
120 15%
Kubernetes
100 12%
Spark
87 11%
Databricks
79 10%
GCP
79 10%
Show all (91)
And 51 more, each named in fewer postings.
What developer tools does Mastercard use?
Jenkins is named in 10% of job postings at Mastercard, followed by Git (9%), Microsoft Excel (7%), Docker (7%).
Jenkins
79 10%
Git
74 9%
Docker
56 7%
Copilot
48 6%
Terraform
47 6%
Rest API
45 6%
pySpark
38 5%
Show all (78)
And 38 more, each named in fewer postings.
What AI and ML technologies does Mastercard use?
LLM is named in 6% of job postings at Mastercard, followed by Claude (2%), Gemini (1%), BERT (<1%).
Show all (15)
Which engineering practices does Mastercard ask for?
CI/CD is named in 31% of job postings at Mastercard, followed by AI Agents (16%), Machine Learning (15%), Platform Engineering (6%).
CI/CD
251 31%
AI Agents
132 16%
Platform Engineering
47 6%
RAG
47 6%
Incident Management
44 5%
Show all (81)
And 41 more, each named in fewer postings.
What other technologies does Mastercard use?
Ethereum is named in <1% of job postings at Mastercard, followed by Arbitrum (<1%), Optimism (<1%), Polygon (<1%).
What does each Mastercard team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
147 postingsSales
115 postingsProduct
102 postingsData Science
83 postingsDevOps
60 postingsAI/ML
47 postingsHow does your stack fit Mastercard?
How much does Mastercard pay by technology?
Median stated pay of the postings that name each technology, against the median of all Mastercard postings with stated pay: $207k across 141 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Java | 38 | $184k | −11% |
| AWS | 36 | $207k | 0% |
| Python | 33 | $184k | −11% |
| Azure | 31 | $207k | 0% |
| SQL | 24 | $184k | −11% |
| Databricks | 20 | $208k | 0% |
| Spring Boot | 19 | $184k | −11% |
| Kubernetes | 17 | $207k | 0% |
| GCP | 16 | $203k | −2% |
| JavaScript | 15 | $212k | +2% |
How is the Mastercard 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 Mastercard stack?
Mastercard scores 79 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: 15; legacy ones: 1.
How common is the Mastercard stack in its industry?
Share of the 375 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Mastercard apart
Companies with a stack like Mastercard
Questions about the Mastercard tech stack
What programming languages does Mastercard use?
The languages named in Mastercard job postings are SQL (33%), Python (30%), Java (23%), JavaScript (9%), TypeScript (6%), as a share of the 801 postings of the last 12 months.
Does Mastercard use Spring Boot?
Yes. Spring Boot is named in 79 of 801 job postings (10%) and required in 65 of them.
What cloud and platforms does Mastercard use?
The cloud and platforms named in Mastercard job postings are AWS (186), Azure (167), Power BI (123) (postings in brackets).
What skills do you need for a Backend job at Mastercard?
Backend postings at Mastercard most often require Java (94), Spring Boot (56), SQL (51), AWS (48), out of 147 postings in the last 12 months.
Is the Mastercard tech stack changing?
Yes. Ethereum, Ethers.js, Foundry, Hardhat first appeared in Mastercard job postings in the last six months.
How modern is the Mastercard tech stack?
Mastercard scores 79 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: 15; legacy ones: 1.
How does Alion know the Mastercard tech stack?
Alion reads every job posting Mastercard publishes and tags the technologies each one names. The figures on this page count the 801 postings of the last 12 months and were updated on Sep 26, 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, "Mastercard tech stack: 402 technologies from 801 job postings", as of Sep 26, 2026. https://alion.io/company/mastercard/technologies