Stone tech stack
Stone builds mostly with SQL, Python, C#, Go. Its stack also includes Apache Kafka, Azure, PostgreSQL, ElasticSearch. SQL is named in 11 of the 27 job postings Stone published in the last 12 months (41%). Counted by Alion from the job postings of Stone, updated Oct 5, 2026.
What programming languages does Stone use?
SQL is named in 41% of job postings at Stone, followed by Python (30%), C# (15%), Go (15%).
Show all (12)
What frameworks and libraries does Stone use?
Compose Multiplatform is named in 7% of job postings at Stone, followed by Kotlin Multiplatform (7%), React Native (7%), React.js (7%).
Show all (10)
What databases does Stone use?
PostgreSQL is named in 30% of job postings at Stone, followed by ElasticSearch (11%), BigQuery (7%), Google BigQuery (7%).
What cloud and platforms does Stone use?
Apache Kafka is named in 33% of job postings at Stone, followed by Azure (30%), Databricks (30%), GCP (30%).
Show all (23)
What developer tools does Stone use?
Docker is named in 19% of job postings at Stone, followed by Git (11%), Prometheus (7%), Rest API (7%).
Show all (16)
What AI and ML technologies does Stone use?
Claude is named in 7% of job postings at Stone, followed by ChatGPT (4%), GPT-4 (4%), LLM (4%).
Which engineering practices does Stone ask for?
CI/CD is named in 37% of job postings at Stone, followed by Machine Learning (11%), Gitflow (7%), MVVM (7%).
Show all (14)
What does each Stone team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
11 postingsAnalytics
9 postingsHow does your stack fit Stone?
How is the Stone 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 Stone stack?
Stone scores 87 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: 4; legacy ones: 0.
Companies with a stack like Stone
Questions about the Stone tech stack
What programming languages does Stone use?
The languages named in Stone job postings are SQL (41%), Python (30%), C# (15%), Go (15%), Scala (11%), as a share of the 27 postings of the last 12 months.
Does Stone use Compose Multiplatform?
Yes. Compose Multiplatform is named in 2 of 27 job postings (7%) and required in 2 of them.
What cloud and platforms does Stone use?
The cloud and platforms named in Stone job postings are Apache Kafka (9), Azure (8), Databricks (8) (postings in brackets).
What skills do you need for a Backend job at Stone?
Backend postings at Stone most often require Apache Kafka (8), RabbitMQ (7), Azure (6), Datadog (6), out of 11 postings in the last 12 months.
Is the Stone tech stack changing?
Yes. Compose Multiplatform, Kotlin Multiplatform, MVVM, React Native first appeared in Stone job postings in the last six months.
How modern is the Stone tech stack?
Stone scores 87 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: 4; legacy ones: 0.
How does Alion know the Stone tech stack?
Alion reads every job posting Stone publishes and tags the technologies each one names. The figures on this page count the 27 postings of the last 12 months and were updated on Oct 5, 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, "Stone tech stack: 86 technologies from 27 job postings", as of Oct 5, 2026. https://alion.io/company/stone-com-br/technologies
