Kaleris tech stack
Kaleris builds mostly with SQL, Python, Java, JavaScript. Its stack also includes Azure, AWS, Redis, PostgreSQL. SQL is named in 12 of the 26 job postings Kaleris published in the last 12 months (46%). Counted by Alion from the job postings of Kaleris, updated Sep 28, 2026.
What programming languages does Kaleris use?
SQL is named in 46% of job postings at Kaleris, followed by Python (42%), Java (42%), JavaScript (23%).
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What frameworks and libraries does Kaleris use?
JUnit is named in 12% of job postings at Kaleris, followed by TensorFlow (12%), Hibernate (12%), Ruby on Rails (12%).
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What databases does Kaleris use?
Redis is named in 12% of job postings at Kaleris, followed by PostgreSQL (12%), Oracle (12%), MySQL (8%).
What cloud and platforms does Kaleris use?
Azure is named in 46% of job postings at Kaleris, followed by AWS (27%), Windows (19%), GCP (19%).
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What developer tools does Kaleris use?
Git is named in 19% of job postings at Kaleris, followed by Docker (19%), Copilot (15%), Rest API (15%).
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What AI and ML technologies does Kaleris use?
Claude is named in 15% of job postings at Kaleris, followed by LLM (8%).
Which engineering practices does Kaleris ask for?
CI/CD is named in 23% of job postings at Kaleris, followed by Machine Learning (15%), Dependency Injection (8%), Multimodal AI (8%).
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What does each Kaleris team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
10 postingsDevOps
3 postingsEarly Careers
3 postingsHow does your stack fit Kaleris?
How is the Kaleris 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 Kaleris stack?
Kaleris scores 80 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 Kaleris stack in its industry?
Share of the 245 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Kaleris apart
Companies with a stack like Kaleris
Questions about the Kaleris tech stack
What programming languages does Kaleris use?
The languages named in Kaleris job postings are SQL (46%), Python (42%), Java (42%), JavaScript (23%), C# (15%), as a share of the 26 postings of the last 12 months.
Does Kaleris use JUnit?
Yes. JUnit is named in 3 of 26 job postings (12%) and required in 3 of them.
What cloud and platforms does Kaleris use?
The cloud and platforms named in Kaleris job postings are Azure (12), AWS (7), Windows (5) (postings in brackets).
What skills do you need for a Backend job at Kaleris?
Backend postings at Kaleris most often require Java (5), SQL (4), C# (3), Git (3), out of 10 postings in the last 12 months.
Is the Kaleris tech stack changing?
Yes. LLM, ArgoCD, Azure AKS, Bash first appeared in Kaleris job postings in the last six months.
How modern is the Kaleris tech stack?
Kaleris scores 80 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 Kaleris tech stack?
Alion reads every job posting Kaleris publishes and tags the technologies each one names. The figures on this page count the 26 postings of the last 12 months and were updated on Sep 28, 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, "Kaleris tech stack: 111 technologies from 26 job postings", as of Sep 28, 2026. https://alion.io/company/kaleris/technologies
