Ural Logistika tech stack
Ural Logistika builds mostly with SQL, Python, Node JS, TypeScript. Its stack also includes Kubernetes, PostgreSQL, vLLM, Qdrant. SQL is named in 6 of the 7 job postings Ural Logistika published in the last 12 months (86%). Counted by Alion from the job postings of Ural Logistika, updated Sep 26, 2026.
What programming languages does Ural Logistika use?
SQL is named in 86% of job postings at Ural Logistika, followed by Python (57%), Node JS (29%), TypeScript (29%).
What frameworks and libraries does Ural Logistika use?
CUDA is named in 29% of job postings at Ural Logistika, followed by Celery (29%), FastAPI (29%), Fastify (29%).
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What databases does Ural Logistika use?
PostgreSQL is named in 86% of job postings at Ural Logistika, followed by Qdrant (29%), Redis (29%).
What cloud and platforms does Ural Logistika use?
Kubernetes is named in 86% of job postings at Ural Logistika, followed by vLLM (57%), CUDA Toolkit (29%), Hugging Face (29%).
What developer tools does Ural Logistika use?
Docker is named in 86% of job postings at Ural Logistika, followed by Model Context Protocol (29%), Vite (29%), Rest API (14%).
What AI and ML technologies does Ural Logistika use?
LLM is named in 57% of job postings at Ural Logistika, followed by PEFT (29%).
Which engineering practices does Ural Logistika ask for?
Fine-tuning is named in 57% of job postings at Ural Logistika, followed by CI/CD (29%), Function Calling (29%), GraphRAG (29%).
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What does each Ural Logistika team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
4 postingsHow does your stack fit Ural Logistika?
How modern is the Ural Logistika stack?
Ural Logistika scores 88 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.
Questions about the Ural Logistika tech stack
What programming languages does Ural Logistika use?
The languages named in Ural Logistika job postings are SQL (86%), Python (57%), Node JS (29%), TypeScript (29%), JavaScript (29%), as a share of the 7 postings of the last 12 months.
Does Ural Logistika use CUDA?
Yes. CUDA is named in 2 of 7 job postings (29%) and required in 2 of them.
What cloud and platforms does Ural Logistika use?
The cloud and platforms named in Ural Logistika job postings are Kubernetes (6), vLLM (4), CUDA Toolkit (2) (postings in brackets).
What skills do you need for a AI/ML job at Ural Logistika?
AI/ML postings at Ural Logistika most often require Docker (4), Kubernetes (4), LLM (4), PostgreSQL (4), out of 4 postings in the last 12 months.
Is the Ural Logistika tech stack changing?
No new technology has appeared in Ural Logistika job postings in the last six months.
How modern is the Ural Logistika tech stack?
Ural Logistika scores 88 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 Ural Logistika tech stack?
Alion reads every job posting Ural Logistika publishes and tags the technologies each one names. The figures on this page count the 7 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, "Ural Logistika tech stack: 46 technologies from 7 job postings", as of Sep 26, 2026. https://alion.io/company/ulgroup/technologies
