Moondigo tech stack
Moondigo builds mostly with SQL, Java, JavaScript, TypeScript. Its stack also includes Azure, Kubernetes, Spring Boot, Angular. SQL is named in 24 of the 48 job postings Moondigo published in the last 12 months (50%). Counted by Alion from the job postings of Moondigo, updated Oct 26, 2026.
What programming languages does Moondigo use?
SQL is named in 50% of job postings at Moondigo, followed by Java (46%), JavaScript (33%), TypeScript (29%).
SQL
24 50%
Java
22 46%
JavaScript
16 33%
TypeScript
14 29%
Sass
6 13%
Python
5 10%
Kotlin
2 4%
PowerShell
1 2%
What frameworks and libraries does Moondigo use?
Spring Boot is named in 29% of job postings at Moondigo, followed by Angular (25%), Hibernate (13%), NgRx (13%).
Spring Boot
14 29%
Angular
12 25%
Hibernate
6 13%
NgRx
6 13%
PyTorch
4 8%
Scikit-learn
4 8%
LangChain
4 8%
LangGraph
4 8%
Show all (22)
What databases does Moondigo use?
PostgreSQL is named in 23% of job postings at Moondigo, followed by MySQL (15%), Neo4j (2%), ElasticSearch (2%).
What cloud and platforms does Moondigo use?
Azure is named in 46% of job postings at Moondigo, followed by Kubernetes (35%), GCP (23%), Apache Kafka (19%).
Azure
22 46%
Kubernetes
17 35%
GCP
11 23%
Apache Kafka
9 19%
MLFlow
6 13%
GitHub
5 10%
Postman
5 10%
Show all (25)
What developer tools does Moondigo use?
Rest API is named in 40% of job postings at Moondigo, followed by Git (38%), Docker (27%), Swagger (17%).
Rest API
19 40%
Git
18 38%
Docker
13 27%
Swagger
8 17%
Terraform
3 6%
Copilot
3 6%
Jenkins
3 6%
Claude Code
2 4%
Show all (18)
What AI and ML technologies does Moondigo use?
LLM is named in 19% of job postings at Moondigo, followed by ChatGPT (2%).
Which engineering practices does Moondigo ask for?
CI/CD is named in 65% of job postings at Moondigo, followed by AI Agents (19%), RAG (13%), Machine Learning (13%).
CI/CD
31 65%
AI Agents
9 19%
RAG
6 13%
NLP
3 6%
Show all (13)
What does each Moondigo team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
18 postingsDevOps
6 postingsAI/ML
6 postingsQA
6 postingsFrontend
3 postingsHow does your stack fit Moondigo?
How much does Moondigo pay by technology?
Median stated pay of the postings that name each technology, against the median of all Moondigo postings with stated pay: $86k across 14 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Azure | 7 | $92k | +7% |
| Kubernetes | 6 | $95k | +11% |
| SQL | 6 | $81k | −6% |
| Java | 6 | $81k | −6% |
| JavaScript | 5 | $82k | −5% |
How is the Moondigo 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 Moondigo stack?
Moondigo scores 82 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: 2; legacy ones: 0.
How common is the Moondigo stack in its industry?
Share of the 4,664 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Moondigo apart
Companies with a stack like Moondigo
Questions about the Moondigo tech stack
What programming languages does Moondigo use?
The languages named in Moondigo job postings are SQL (50%), Java (46%), JavaScript (33%), TypeScript (29%), Sass (13%), as a share of the 48 postings of the last 12 months.
Does Moondigo use Spring Boot?
Yes. Spring Boot is named in 14 of 48 job postings (29%) and required in 14 of them.
What cloud and platforms does Moondigo use?
The cloud and platforms named in Moondigo job postings are Azure (22), Kubernetes (17), GCP (11) (postings in brackets).
What skills do you need for a Backend job at Moondigo?
Backend postings at Moondigo most often require Java (15), Spring Boot (13), SQL (12), Kubernetes (10), out of 18 postings in the last 12 months.
Is the Moondigo tech stack changing?
Yes. ETL/ELT, Kotlin, Maven, JFrog Artifactory first appeared in Moondigo job postings in the last six months.
How modern is the Moondigo tech stack?
Moondigo scores 82 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: 2; legacy ones: 0.
How does Alion know the Moondigo tech stack?
Alion reads every job posting Moondigo publishes and tags the technologies each one names. The figures on this page count the 48 postings of the last 12 months and were updated on Oct 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, "Moondigo tech stack: 92 technologies from 48 job postings", as of Oct 26, 2026. https://alion.io/company/moondigo-sp-z-o-o/technologies