Skan AI tech stack
Skan AI builds mostly with Python, SQL, Bash, Java. Its stack also includes Kubernetes, Azure, PostgreSQL, Snowflake. Python is named in 20 of the 66 job postings Skan AI published in the last 12 months (30%). Counted by Alion from the job postings of Skan AI, updated Sep 26, 2026.
What programming languages does Skan AI use?
Python is named in 30% of job postings at Skan AI, followed by SQL (17%), Bash (6%), Java (5%).
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What frameworks and libraries does Skan AI use?
Alembic is named in 5% of job postings at Skan AI, followed by Flink (3%), Angular (2%), Django (2%).
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What databases does Skan AI use?
PostgreSQL is named in 9% of job postings at Skan AI, followed by Snowflake (5%), StarRocks (5%), Delta Lake (3%).
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What cloud and platforms does Skan AI use?
Kubernetes is named in 18% of job postings at Skan AI, followed by Azure (15%), GCP (15%), AWS (9%).
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What developer tools does Skan AI use?
Docker is named in 12% of job postings at Skan AI, followed by Terraform (9%), Prometheus (8%), Ansible (6%).
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What AI and ML technologies does Skan AI use?
LLM is named in 6% of job postings at Skan AI, followed by ChatGPT (2%), Claude (2%).
Which engineering practices does Skan AI ask for?
AI Agents is named in 100% of job postings at Skan AI, followed by CI/CD (12%), Agentic Workflows (8%), SLI/SLO/SLA (8%).
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What does each Skan AI team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Solutions
12 postingsField & Service
12 postingsDevOps
5 postingsHow does your stack fit Skan AI?
How is the Skan AI 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 Skan AI stack?
Skan AI 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: 3; legacy ones: 0.
How common is the Skan AI stack in its industry?
Share of the 417 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Skan AI apart
Companies with a stack like Skan AI
Questions about the Skan AI tech stack
What programming languages does Skan AI use?
The languages named in Skan AI job postings are Python (30%), SQL (17%), Bash (6%), Java (5%), JavaScript (2%), as a share of the 66 postings of the last 12 months.
Does Skan AI use Alembic?
Yes. Alembic is named in 3 of 66 job postings (5%) and required in 2 of them.
What cloud and platforms does Skan AI use?
The cloud and platforms named in Skan AI job postings are Kubernetes (12), Azure (10), GCP (10) (postings in brackets).
What skills do you need for a Solutions job at Skan AI?
Solutions postings at Skan AI most often require Python (6), SQL (5), out of 12 postings in the last 12 months.
Is the Skan AI tech stack changing?
Yes. HashiCorp Vault, LLM Guardrails, Human-in-the-Loop, Agentic Workflows first appeared in Skan AI job postings in the last six months.
How modern is the Skan AI tech stack?
Skan AI 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: 3; legacy ones: 0.
How does Alion know the Skan AI tech stack?
Alion reads every job posting Skan AI publishes and tags the technologies each one names. The figures on this page count the 66 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, "Skan AI tech stack: 120 technologies from 66 job postings", as of Sep 26, 2026. https://alion.io/company/skan-ai/technologies
