Mphasis tech stack
Mphasis builds mostly with Python, SQL, Java, JavaScript. Its stack also includes AWS, Azure, Spring Boot, React.js. Python is named in 32 of the 74 job postings Mphasis published in the last 12 months (43%). Counted by Alion from the job postings of Mphasis, updated Oct 17, 2026.
What programming languages does Mphasis use?
Python is named in 43% of job postings at Mphasis, followed by SQL (42%), Java (35%), JavaScript (28%).
Python
32 43%
SQL
31 42%
Java
26 35%
JavaScript
21 28%
TypeScript
13 18%
Node JS
10 14%
C#
8 11%
Apex
5 7%
Show all (18)
What frameworks and libraries does Mphasis use?
Spring Boot is named in 14% of job postings at Mphasis, followed by React.js (12%), Angular (12%), Visualforce (5%).
Spring Boot
10 14%
React.js
9 12%
Angular
9 12%
Mockito
4 5%
Nest.JS
3 4%
NumPy
3 4%
PyTorch
3 4%
Show all (52)
And 12 more, each named in fewer postings.
What databases does Mphasis use?
Snowflake is named in 11% of job postings at Mphasis, followed by PostgreSQL (11%), Db2 (7%), MySQL (5%).
Snowflake
8 11%
PostgreSQL
8 11%
Db2
5 7%
MySQL
4 5%
Oracle
4 5%
Amazon Redshift
3 4%
BigQuery
3 4%
Google BigQuery
3 4%
Show all (18)
What cloud and platforms does Mphasis use?
AWS is named in 41% of job postings at Mphasis, followed by Azure (31%), Kubernetes (24%), GCP (20%).
Show all (57)
And 17 more, each named in fewer postings.
What developer tools does Mphasis use?
Rest API is named in 26% of job postings at Mphasis, followed by Git (22%), Docker (19%), Terraform (11%).
Rest API
19 26%
Git
16 22%
Docker
14 19%
Terraform
8 11%
Copilot
6 8%
Jenkins
4 5%
Ansible
3 4%
Claude Code
3 4%
Show all (26)
What AI and ML technologies does Mphasis use?
LLM is named in 8% of job postings at Mphasis, followed by Claude (3%), Gemini (1%), Llama (1%).
Which engineering practices does Mphasis ask for?
CI/CD is named in 41% of job postings at Mphasis, followed by AI Agents (15%), Machine Learning (15%), ETL/ELT (8%).
CI/CD
30 41%
AI Agents
11 15%
Prompt Engineering
4 5%
RAG
4 5%
Show all (42)
And 2 more, each named in fewer postings.
What does each Mphasis team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
20 postingsEnterprise Apps
10 postingsDevOps
8 postingsAI/ML
6 postingsIndustrial Engineering
6 postingsData Science
6 postingsHow does your stack fit Mphasis?
How is the Mphasis 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 Mphasis stack?
Mphasis scores 81 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: 4; legacy ones: 0.
How common is the Mphasis stack in its industry?
Share of the 8,070 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Mphasis apart
Companies with a stack like Mphasis
Questions about the Mphasis tech stack
What programming languages does Mphasis use?
The languages named in Mphasis job postings are Python (43%), SQL (42%), Java (35%), JavaScript (28%), TypeScript (18%), as a share of the 74 postings of the last 12 months.
Does Mphasis use Spring Boot?
Yes. Spring Boot is named in 10 of 74 job postings (14%) and required in 6 of them.
What cloud and platforms does Mphasis use?
The cloud and platforms named in Mphasis job postings are AWS (30), Azure (23), Kubernetes (18) (postings in brackets).
What skills do you need for a Backend job at Mphasis?
Backend postings at Mphasis most often require AWS (11), Python (11), Java (10), Node JS (7), out of 20 postings in the last 12 months.
Is the Mphasis tech stack changing?
Yes. Amazon Redshift, Plotly, Streamlit, BigQuery first appeared in Mphasis job postings in the last six months.
How modern is the Mphasis tech stack?
Mphasis scores 81 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: 4; legacy ones: 0.
How does Alion know the Mphasis tech stack?
Alion reads every job posting Mphasis publishes and tags the technologies each one names. The figures on this page count the 74 postings of the last 12 months and were updated on Oct 17, 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, "Mphasis tech stack: 217 technologies from 74 job postings", as of Oct 17, 2026. https://alion.io/company/mphasis/technologies