Klimb.io tech stack
Klimb.io builds mostly with Python, SQL, Java, JavaScript. Its stack also includes AWS, Kubernetes, Spring Boot, PostgreSQL. AWS is named in 23 of the 43 job postings Klimb.io published in the last 12 months (53%). Counted by Alion from the job postings of Klimb.io, updated Sep 26, 2026.
What programming languages does Klimb.io use?
Python is named in 49% of job postings at Klimb.io, followed by SQL (47%), Java (37%), JavaScript (33%).
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What frameworks and libraries does Klimb.io use?
Spring Boot is named in 23% of job postings at Klimb.io, followed by React.js (16%), Rest-Assured (12%), FastAPI (9%).
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And 11 more, each named in fewer postings.
What databases does Klimb.io use?
PostgreSQL is named in 19% of job postings at Klimb.io, followed by MySQL (14%), Redis (9%), Delta Lake (5%).
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What cloud and platforms does Klimb.io use?
AWS is named in 53% of job postings at Klimb.io, followed by Kubernetes (26%), Azure (21%), Amazon S3 (14%).
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What developer tools does Klimb.io use?
Git is named in 35% of job postings at Klimb.io, followed by Docker (33%), Rest API (23%), Terraform (16%).
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What AI and ML technologies does Klimb.io use?
LLM is named in 9% of job postings at Klimb.io, followed by Claude (2%).
Which engineering practices does Klimb.io ask for?
CI/CD is named in 37% of job postings at Klimb.io, followed by IAM (12%), Machine Learning (9%), AI Agents (7%).
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What does each Klimb.io team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
11 postingsAI/ML
5 postingsLeadership
5 postingsDevOps
5 postingsQA
4 postingsFrontend
4 postingsHow does your stack fit Klimb.io?
How modern is the Klimb.io stack?
Klimb.io scores 79 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 Klimb.io stack in its industry?
Share of the 35 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Klimb.io apart
Companies with a stack like Klimb.io
Questions about the Klimb.io tech stack
What programming languages does Klimb.io use?
The languages named in Klimb.io job postings are Python (49%), SQL (47%), Java (37%), JavaScript (33%), TypeScript (19%), as a share of the 43 postings of the last 12 months.
Does Klimb.io use Spring Boot?
Yes. Spring Boot is named in 10 of 43 job postings (23%) and required in 10 of them.
What cloud and platforms does Klimb.io use?
The cloud and platforms named in Klimb.io job postings are AWS (23), Kubernetes (11), Azure (9) (postings in brackets).
What skills do you need for a Backend job at Klimb.io?
Backend postings at Klimb.io most often require AWS (9), Java (8), Spring Boot (7), PostgreSQL (6), out of 11 postings in the last 12 months.
Is the Klimb.io tech stack changing?
No new technology has appeared in Klimb.io job postings in the last six months.
How modern is the Klimb.io tech stack?
Klimb.io scores 79 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 Klimb.io tech stack?
Alion reads every job posting Klimb.io publishes and tags the technologies each one names. The figures on this page count the 43 postings of the last 12 months and were updated on Sep 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, "Klimb.io tech stack: 184 technologies from 43 job postings", as of Sep 26, 2026. https://alion.io/company/klimb-io/technologies
