JetBrains tech stack
JetBrains builds mostly with Java, Python, JavaScript, SQL. Its stack also includes Kubernetes, AWS, PostgreSQL, Ktor. Java is named in 36 of the 93 job postings JetBrains published in the last 12 months (39%). Counted by Alion from the job postings of JetBrains, updated Nov 12, 2026.
What programming languages does JetBrains use?
Java is named in 39% of job postings at JetBrains, followed by Python (24%), JavaScript (8%), SQL (6%).
C# 
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What frameworks and libraries does JetBrains use?
Ktor is named in 6% of job postings at JetBrains, followed by JUnit (5%), LangChain (5%), Micronaut (4%).
Ktor
6 6%
JUnit
5 5%
LangChain
5 5%
Micronaut
4 4%
PyTorch
4 4%
Quarkus
4 4%
TestNG
4 4%
LlamaIndex
3 3%
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What databases does JetBrains use?
PostgreSQL is named in 6% of job postings at JetBrains, followed by MS SQL (1%), MySQL (1%), Oracle (1%).
What cloud and platforms does JetBrains use?
Kubernetes is named in 15% of job postings at JetBrains, followed by AWS (11%), Linux (8%), Windows (6%).
Kubernetes
14 15%
AWS
10 11%
GitHub
6 6%
.NET
6 6%
Azure
5 5%
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What developer tools does JetBrains use?
Gradle is named in 15% of job postings at JetBrains, followed by Maven (11%), Model Context Protocol (10%), Docker (9%).
Gradle
14 15%
Maven
10 11%
Model Context Protocol
9 10%
Docker
8 9%
Git
6 6%
Terraform
5 5%
Apache Tomcat
2 2%
Claude Code
2 2%
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What AI and ML technologies does JetBrains use?
LLM is named in 26% of job postings at JetBrains, followed by Claude (3%), Gemini (1%).
Which engineering practices does JetBrains ask for?
AI Agents is named in 29% of job postings at JetBrains, followed by CI/CD (28%), Agentic Workflows (12%), Fine-tuning (9%).
AI Agents
27 29%
CI/CD
26 28%
Fine-tuning
8 9%
Function Calling
8 9%
Prompt Engineering
6 6%
NLP
5 5%
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What does each JetBrains team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
17 postingsAI/ML
15 postingsQA
12 postingsDevOps
6 postingsHow does your stack fit JetBrains?
How is the JetBrains 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 JetBrains stack?
JetBrains 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: 3; legacy ones: 0.
How common is the JetBrains stack in its industry?
Share of the 332 companies in the same industries, whose stack Alion knows, that use each technology.
What sets JetBrains apart
JetBrains products in its job postings
Postings at JetBrains name its own products. They describe what the company makes, so they are left out of the stack above.
Companies with a stack like JetBrains
Questions about the JetBrains tech stack
What programming languages does JetBrains use?
The languages named in JetBrains job postings are Java (39%), Python (24%), JavaScript (8%), SQL (6%), C++ (6%), as a share of the 93 postings of the last 12 months.
Does JetBrains use Ktor?
Yes. Ktor is named in 6 of 93 job postings (6%) and required in 6 of them.
What cloud and platforms does JetBrains use?
The cloud and platforms named in JetBrains job postings are Kubernetes (14), AWS (10), Linux (7) (postings in brackets).
What skills do you need for a Backend job at JetBrains?
Backend postings at JetBrains most often require Java (10), Kubernetes (5), C++ (3), LLM (3), out of 17 postings in the last 12 months.
Is the JetBrains tech stack changing?
Yes. Hibernate, Apache Kafka, Copilot, OpenTelemetry first appeared in JetBrains job postings in the last six months.
How modern is the JetBrains tech stack?
JetBrains 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: 3; legacy ones: 0.
How does Alion know the JetBrains tech stack?
Alion reads every job posting JetBrains publishes and tags the technologies each one names. The figures on this page count the 93 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, "JetBrains tech stack: 150 technologies from 93 job postings", as of Nov 12, 2026. https://alion.io/company/jetbrains/technologies