Mastercard tech stack
Mastercard builds mostly with SQL, Python, Java, JavaScript. Its stack also includes AWS, Azure, Spring Boot, PostgreSQL. SQL is named in 442 of the 1,373 job postings Mastercard published in the last 12 months (32%). Counted by Alion from the job postings of Mastercard, updated Nov 10, 2026.
What programming languages does Mastercard use?
SQL is named in 32% of job postings at Mastercard, followed by Python (30%), Java (28%), JavaScript (11%).
SQL
442 32%
Python
418 30%
Java
378 28%
JavaScript
154 11%
TypeScript
117 9%
C#
44 3%
Scala
41 3%
C++
31 2%
Show all (28)
What frameworks and libraries does Mastercard use?
Spring Boot is named in 13% of job postings at Mastercard, followed by Hadoop (7%), Angular (6%), React.js (4%).
Spring Boot
175 13%
Hadoop
94 7%
Angular
79 6%
React.js
61 4%
TensorFlow
42 3%
LangChain
41 3%
PyTorch
37 3%
Hibernate
35 3%
Show all (87)
And 47 more, each named in fewer postings.
What databases does Mastercard use?
PostgreSQL is named in 7% of job postings at Mastercard, followed by Oracle (5%), Snowflake (4%), Redis (3%).
PostgreSQL
98 7%
Oracle
63 5%
Snowflake
60 4%
Redis
35 3%
Cassandra
24 2%
Delta Lake
20 1%
MySQL
16 1%
MS SQL
12 1%
Show all (30)
What cloud and platforms does Mastercard use?
AWS is named in 24% of job postings at Mastercard, followed by Azure (20%), Kubernetes (15%), Power BI (12%).
AWS
328 24%
Azure
275 20%
Kubernetes
204 15%
Power BI
168 12%
Databricks
165 12%
Tableau
161 12%
Spark
157 11%
GCP
124 9%
Show all (103)
And 63 more, each named in fewer postings.
What developer tools does Mastercard use?
Jenkins is named in 11% of job postings at Mastercard, followed by Rest API (10%), Git (9%), Docker (9%).
Jenkins
157 11%
Rest API
133 10%
Git
124 9%
Docker
121 9%
Copilot
97 7%
Terraform
76 6%
pySpark
63 5%
Show all (90)
And 50 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%), LoRA (1%).
Show all (17)
Which engineering practices does Mastercard ask for?
CI/CD is named in 32% of job postings at Mastercard, followed by AI Agents (17%), Machine Learning (14%), Platform Engineering (6%).
CI/CD
443 32%
AI Agents
238 17%
Platform Engineering
82 6%
RAG
79 6%
Incident Management
68 5%
Show all (82)
And 42 more, each named in fewer postings.
What other technologies does Mastercard use?
Ethereum is named in <1% of job postings at Mastercard, followed by Polygon (<1%), Solana (<1%), Arbitrum (<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
320 postingsProduct
166 postingsSales
164 postingsData Science
133 postingsDevOps
84 postingsLeadership
75 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: $218k across 253 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Java | 75 | $184k | −16% |
| Python | 60 | $196k | −10% |
| AWS | 59 | $207k | −5% |
| Azure | 51 | $212k | −3% |
| SQL | 50 | $184k | −16% |
| Spring Boot | 37 | $184k | −16% |
| Kubernetes | 35 | $231k | +6% |
| Databricks | 33 | $212k | −3% |
| TypeScript | 28 | $198k | −9% |
| JavaScript | 27 | $184k | −16% |
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 78 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: 17; legacy ones: 1.
How common is the Mastercard stack in its industry?
Share of the 940 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 (32%), Python (30%), Java (28%), JavaScript (11%), TypeScript (9%), as a share of the 1,373 postings of the last 12 months.
Does Mastercard use Spring Boot?
Yes. Spring Boot is named in 175 of 1,373 job postings (13%) and required in 146 of them.
What cloud and platforms does Mastercard use?
The cloud and platforms named in Mastercard job postings are AWS (328), Azure (275), Kubernetes (204) (postings in brackets).
What skills do you need for a Backend job at Mastercard?
Backend postings at Mastercard most often require Java (198), Spring Boot (124), SQL (109), AWS (103), out of 320 postings in the last 12 months.
Is the Mastercard tech stack changing?
Yes. TGI, Collibra, Move, Microsoft Defender first appeared in Mastercard job postings in the last six months.
How modern is the Mastercard tech stack?
Mastercard scores 78 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: 17; 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 1,373 postings of the last 12 months and were updated on Nov 10, 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: 443 technologies from 1,373 job postings", as of Nov 10, 2026. https://alion.io/company/mastercard/technologies