Imagine Learning tech stack
Imagine Learning builds mostly with JavaScript, TypeScript, SQL, Node JS. Its stack also includes AWS, React.js, Kubernetes, Redis. AWS is named in 17 of the 19 job postings Imagine Learning published in the last 12 months (89%). Counted by Alion from the job postings of Imagine Learning, updated Nov 11, 2026.
What programming languages does Imagine Learning use?
JavaScript is named in 74% of job postings at Imagine Learning, followed by TypeScript (53%), SQL (47%), Node JS (42%).
JavaScript
14 74%
TypeScript
10 53%
SQL
9 47%
Node JS
8 42%
Python
7 37%
C#
6 32%
Java
5 26%
Bash
2 11%
Show all (13)
What frameworks and libraries does Imagine Learning use?
React.js is named in 68% of job postings at Imagine Learning, followed by Redux (26%), Angular (21%), Spring Boot (21%).
React.js
13 68%
Redux
5 26%
Angular
4 21%
Spring Boot
4 21%
ASP.NET Core
3 16%
OpenTelemetry
3 16%
Next.js
2 11%
React Query
2 11%
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What databases does Imagine Learning use?
Redis is named in 26% of job postings at Imagine Learning, followed by PostgreSQL (21%), DynamoDB (16%), MySQL (16%).
Redis
5 26%
PostgreSQL
4 21%
DynamoDB
3 16%
MySQL
3 16%
Snowflake
3 16%
OpenSearch
2 11%
MongoDB
1 5%
What cloud and platforms does Imagine Learning use?
AWS is named in 89% of job postings at Imagine Learning, followed by Kubernetes (37%), Azure (32%), Apache Kafka (26%).
AWS
17 89%
Kubernetes
7 37%
Azure
6 32%
Apache Kafka
5 26%
GCP
4 21%
GitLab
3 16%
.NET
2 11%
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What developer tools does Imagine Learning use?
Docker is named in 42% of job postings at Imagine Learning, followed by Rest API (32%), GraphQL (21%), Webpack (16%).
Docker
8 42%
Rest API
6 32%
GraphQL
4 21%
Webpack
3 16%
Terraform
3 16%
Argo Workflows
2 11%
ArgoCD
2 11%
Crossplane
2 11%
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What AI and ML technologies does Imagine Learning use?
LLM is named in 37% of job postings at Imagine Learning.
LLM
7 37%
Which engineering practices does Imagine Learning ask for?
CI/CD is named in 79% of job postings at Imagine Learning, followed by IAM (16%), Platform Engineering (16%), Prompt Engineering (16%).
CI/CD
15 79%
Platform Engineering
3 16%
Prompt Engineering
3 16%
State Management
3 16%
AI Agents
3 16%
GitOps
2 11%
Show all (20)
What does each Imagine Learning team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
11 postingsHow does your stack fit Imagine Learning?
How is the Imagine Learning 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 Imagine Learning stack?
Imagine Learning scores 76 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: 1; legacy ones: 0.
How common is the Imagine Learning stack in its industry?
Share of the 1,379 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Imagine Learning apart
Companies with a stack like Imagine Learning
Questions about the Imagine Learning tech stack
What programming languages does Imagine Learning use?
The languages named in Imagine Learning job postings are JavaScript (74%), TypeScript (53%), SQL (47%), Node JS (42%), Python (37%), as a share of the 19 postings of the last 12 months.
Does Imagine Learning use React.js?
Yes. React.js is named in 13 of 19 job postings (68%) and required in 13 of them.
What cloud and platforms does Imagine Learning use?
The cloud and platforms named in Imagine Learning job postings are AWS (17), Kubernetes (7), Azure (6) (postings in brackets).
What skills do you need for a Backend job at Imagine Learning?
Backend postings at Imagine Learning most often require AWS (11), React.js (8), TypeScript (7), Docker (6), out of 11 postings in the last 12 months.
Is the Imagine Learning tech stack changing?
Yes. Amazon Kinesis first appeared in Imagine Learning job postings in the last six months.
How modern is the Imagine Learning tech stack?
Imagine Learning scores 76 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: 1; legacy ones: 0.
How does Alion know the Imagine Learning tech stack?
Alion reads every job posting Imagine Learning publishes and tags the technologies each one names. The figures on this page count the 19 postings of the last 12 months and were updated on Nov 11, 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, "Imagine Learning tech stack: 106 technologies from 19 job postings", as of Nov 11, 2026. https://alion.io/company/imagine-learning/technologies