Lingaro tech stack
Lingaro builds mostly with Python, SQL, TypeScript, JavaScript. Its stack also includes Azure, Databricks, MySQL, Google BigQuery. Azure is named in 54 of the 71 job postings Lingaro published in the last 12 months (76%). Counted by Alion from the job postings of Lingaro, updated Nov 13, 2026.
What programming languages does Lingaro use?
Python is named in 62% of job postings at Lingaro, followed by SQL (44%), TypeScript (13%), JavaScript (13%).
Python
44 62%
SQL
31 44%
TypeScript
9 13%
JavaScript
9 13%
Node JS
5 7%
Scala
5 7%
Java
4 6%
Sass
3 4%
Show all (11)
What frameworks and libraries does Lingaro use?
FastAPI is named in 7% of job postings at Lingaro, followed by Next.js (7%), React.js (7%), Django (6%).
FastAPI
5 7%
Next.js
5 7%
React.js
5 7%
Django
4 6%
Flink
4 6%
React Router
4 6%
Redux
4 6%
LangChain
3 4%
Show all (21)
What databases does Lingaro use?
MySQL is named in 7% of job postings at Lingaro, followed by Google BigQuery (7%), Snowflake (7%), Azure SQL Database (6%).
MySQL
5 7%
Google BigQuery
5 7%
Snowflake
5 7%
Azure SQL Database
4 6%
PostgreSQL
4 6%
DynamoDB
4 6%
Oracle
3 4%
Cassandra
2 3%
Show all (11)
What cloud and platforms does Lingaro use?
Azure is named in 76% of job postings at Lingaro, followed by Databricks (46%), GCP (44%), Power BI (30%).
Azure
54 76%
Databricks
33 46%
GCP
31 44%
Power BI
21 30%
AWS
19 27%
Spark
17 24%
Kubernetes
12 17%
Azure DevOps
10 14%
Show all (39)
What developer tools does Lingaro use?
Git is named in 21% of job postings at Lingaro, followed by Docker (18%), Terraform (11%), Copilot (8%).
Git
15 21%
Docker
13 18%
Terraform
8 11%
Copilot
6 8%
Prometheus
5 7%
pySpark
5 7%
GraphQL
5 7%
Show all (19)
What AI and ML technologies does Lingaro use?
LLM is named in 21% of job postings at Lingaro, followed by LoRA (4%), QLoRA (4%), PEFT (4%).
Which engineering practices does Lingaro ask for?
CI/CD is named in 38% of job postings at Lingaro, followed by ETL/ELT (24%), Machine Learning (21%), RAG (15%).
CI/CD
27 38%
RAG
11 15%
AI Agents
10 14%
FinOps
5 7%
Show all (29)
What does each Lingaro team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
19 postingsAnalytics
10 postingsBackend
9 postingsAI/ML
9 postingsQA
5 postingsSolutions
4 postingsHow does your stack fit Lingaro?
How is the Lingaro 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 Lingaro stack?
Lingaro scores 85 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: 7; legacy ones: 0.
How common is the Lingaro stack in its industry?
Share of the 1,791 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Lingaro apart
Companies with a stack like Lingaro
Questions about the Lingaro tech stack
What programming languages does Lingaro use?
The languages named in Lingaro job postings are Python (62%), SQL (44%), TypeScript (13%), JavaScript (13%), Node JS (7%), as a share of the 71 postings of the last 12 months.
Does Lingaro use FastAPI?
Yes. FastAPI is named in 5 of 71 job postings (7%) and required in 5 of them.
What cloud and platforms does Lingaro use?
The cloud and platforms named in Lingaro job postings are Azure (54), Databricks (33), GCP (31) (postings in brackets).
What skills do you need for a Data Science job at Lingaro?
Data Science postings at Lingaro most often require Python (16), SQL (12), Azure (11), GCP (9), out of 19 postings in the last 12 months.
Is the Lingaro tech stack changing?
Yes. Speech Recognition, Voice Agents, DeepEval, LangSmith first appeared in Lingaro job postings in the last six months.
How modern is the Lingaro tech stack?
Lingaro scores 85 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: 7; legacy ones: 0.
How does Alion know the Lingaro tech stack?
Alion reads every job posting Lingaro publishes and tags the technologies each one names. The figures on this page count the 71 postings of the last 12 months and were updated on Nov 13, 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, "Lingaro tech stack: 137 technologies from 71 job postings", as of Nov 13, 2026. https://alion.io/company/lingaro/technologies