Alibaba Group tech stack
Alibaba Group builds mostly with Python, C++, Java, SQL. Its stack also includes PyTorch, LangChain, Kubernetes, Linux. Python is named in 383 of the 1,009 job postings Alibaba Group published in the last 12 months (38%). Counted by Alion from the job postings of Alibaba Group, updated Oct 4, 2026.
What programming languages does Alibaba Group use?
Python is named in 38% of job postings at Alibaba Group, followed by C++ (23%), Java (18%), SQL (8%).
Python
383 38%
C++
235 23%
Java
180 18%
SQL
79 8%
JavaScript
61 6%
TypeScript
35 3%
Node JS
32 3%
Rust
26 3%
Show all (27)
What frameworks and libraries does Alibaba Group use?
PyTorch is named in 11% of job postings at Alibaba Group, followed by LangChain (7%), TensorFlow (6%), Transformers (4%).
PyTorch
110 11%
LangChain
73 7%
TensorFlow
62 6%
Transformers
45 4%
SGLang
40 4%
PyTorch C++
35 3%
Flink
33 3%
DeepSpeed
29 3%
Show all (119)
And 79 more, each named in fewer postings.
What databases does Alibaba Group use?
Redis is named in 3% of job postings at Alibaba Group, followed by MySQL (3%), PostgreSQL (1%), ElasticSearch (1%).
Redis
33 3%
MySQL
31 3%
PostgreSQL
14 1%
ElasticSearch
12 1%
HBase
8 1%
Milvus
6 1%
OpenSearch
4 <1%
ClickHouse
3 <1%
Show all (22)
What cloud and platforms does Alibaba Group use?
Kubernetes is named in 7% of job postings at Alibaba Group, followed by Linux (6%), vLLM (5%), CUDA Toolkit (3%).
Kubernetes
68 7%
vLLM
47 5%
CUDA Toolkit
27 3%
AWS
24 2%
Spark
22 2%
Apache Kafka
19 2%
Dify
16 2%
Show all (53)
And 13 more, each named in fewer postings.
What developer tools does Alibaba Group use?
Model Context Protocol is named in 13% of job postings at Alibaba Group, followed by Docker (4%), TensorRT (4%), Claude Code (4%).
Model Context Protocol
129 13%
Docker
41 4%
TensorRT
39 4%
Claude Code
38 4%
Cursor
36 4%
Copilot
22 2%
Show all (114)
And 74 more, each named in fewer postings.
What AI and ML technologies does Alibaba Group use?
LLM is named in 29% of job postings at Alibaba Group, followed by VLM (4%), Claude (2%), PEFT (1%).
Show all (22)
Which engineering practices does Alibaba Group ask for?
AI Agents is named in 24% of job postings at Alibaba Group, followed by RAG (20%), Function Calling (11%), SFT (10%).
AI Agents
238 24%
RAG
197 20%
Function Calling
109 11%
RLHF
87 9%
Prompt Engineering
57 6%
Show all (80)
And 40 more, each named in fewer postings.
What does each Alibaba Group team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
486 postingsHardware
81 postingsProduct
81 postingsBackend
73 postingsDevOps
58 postingsSolutions
58 postingsHow does your stack fit Alibaba Group?
How modern is the Alibaba Group stack?
Alibaba Group scores 76 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: 22; legacy ones: 0.
How common is the Alibaba Group stack in its industry?
Share of the 1,457 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Alibaba Group apart
Alibaba Group products in its job postings
Postings at Alibaba Group name its own products. They describe what the company makes, so they are left out of the stack above.
Companies with a stack like Alibaba Group
Questions about the Alibaba Group tech stack
What programming languages does Alibaba Group use?
The languages named in Alibaba Group job postings are Python (38%), C++ (23%), Java (18%), SQL (8%), JavaScript (6%), as a share of the 1,009 postings of the last 12 months.
Does Alibaba Group use PyTorch?
Yes. PyTorch is named in 110 of 1,009 job postings (11%) and required in 110 of them.
What cloud and platforms does Alibaba Group use?
The cloud and platforms named in Alibaba Group job postings are Kubernetes (68), Linux (56), vLLM (47) (postings in brackets).
What skills do you need for a AI/ML job at Alibaba Group?
AI/ML postings at Alibaba Group most often require Python (199), LLM (175), C++ (117), Java (96), out of 486 postings in the last 12 months.
Is the Alibaba Group tech stack changing?
No new technology has appeared in Alibaba Group job postings in the last six months.
How modern is the Alibaba Group tech stack?
Alibaba Group scores 76 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: 22; legacy ones: 0.
How does Alion know the Alibaba Group tech stack?
Alion reads every job posting Alibaba Group publishes and tags the technologies each one names. The figures on this page count the 1,009 postings of the last 12 months and were updated on Oct 4, 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, "Alibaba Group tech stack: 437 technologies from 1,009 job postings", as of Oct 4, 2026. https://alion.io/company/alibaba-group/technologies