Google tech stack
Google builds mostly with Python, C++, SQL, JavaScript. Its stack also includes Linux, LangChain, LangGraph, Unix. Python is named in 749 of the 2,045 job postings Google published in the last 12 months (37%). Counted by Alion from the job postings of Google, updated Sep 27, 2026.
What programming languages does Google use?
Python is named in 37% of job postings at Google, followed by C++ (29%), SQL (14%), JavaScript (11%).
Python
749 37%
C++
594 29%
SQL
282 14%
JavaScript
226 11%
Java
225 11%
TypeScript
98 5%
Go
94 5%
Kotlin
67 3%
Show all (36)
What frameworks and libraries does Google use?
LangChain is named in 4% of job postings at Google, followed by LangGraph (4%), CrewAI (3%), TensorFlow (2%).
LangChain
89 4%
LangGraph
79 4%
CrewAI
58 3%
TensorFlow
47 2%
PyTorch
42 2%
UVM
34 2%
JAX
33 2%
AutoGen
23 1%
Show all (68)
And 28 more, each named in fewer postings.
What databases does Google use?
MySQL is named in 1% of job postings at Google, followed by PostgreSQL (1%), Oracle (<1%), Apache Iceberg (<1%).
MySQL
21 1%
PostgreSQL
12 1%
Oracle
7 <1%
Apache Iceberg
5 <1%
Redis
3 <1%
SAP HANA
3 <1%
Core Data
2 <1%
Db2
1 <1%
Show all (11)
What cloud and platforms does Google use?
Linux is named in 8% of job postings at Google, followed by Unix (4%), Kubernetes (3%), Windows (1%).
Kubernetes
56 3%
RTOS
12 1%
Spark
11 1%
Show all (50)
And 10 more, each named in fewer postings.
What developer tools does Google use?
Model Context Protocol is named in 4% of job postings at Google, followed by Formal Verification (1%), Terraform (1%), Semantic Kernel (<1%).
Model Context Protocol
76 4%
Terraform
15 1%
Semantic Kernel
10 <1%
Rest API
9 <1%
Docker
9 <1%
SolidWorks
7 <1%
SLURM
7 <1%
Show all (73)
And 33 more, each named in fewer postings.
What AI and ML technologies does Google use?
LLM is named in 11% of job postings at Google, followed by Core ML (<1%), LoRA (<1%), Stable Diffusion (<1%).
LLM
220 11%
Core ML
5 <1%
LoRA
2 <1%
Stable Diffusion
2 <1%
PEFT
2 <1%
DreamBooth
1 <1%
QLoRA
1 <1%
Claude
1 <1%
Show all (10)
Which engineering practices does Google ask for?
Machine Learning is named in 20% of job postings at Google, followed by AI Agents (17%), Edge AI (16%), Agentic Workflows (5%).
AI Agents
349 17%
RAG
90 4%
Fine-tuning
84 4%
Computer Vision
84 4%
Multimodal AI
79 4%
Show all (94)
And 54 more, each named in fewer postings.
What other technologies does Google use?
Cosmos is named in <1% of job postings at Google, followed by Solana (<1%), Kotlin Coroutines (<1%).
What does each Google team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
386 postingsAI/ML
243 postingsSolutions
205 postingsProduct
195 postingsHardware
135 postingsHow does your stack fit Google?
How is the Google 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 Google stack?
Google 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: 10; legacy ones: 1.
How common is the Google stack in its industry?
Share of the 727 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Google apart
Google products in its job postings
Postings at Google name its own products. They describe what the company makes, so they are left out of the stack above.
Companies with a stack like Google
Questions about the Google tech stack
What programming languages does Google use?
The languages named in Google job postings are Python (37%), C++ (29%), SQL (14%), JavaScript (11%), Java (11%), as a share of the 2,045 postings of the last 12 months.
Does Google use LangChain?
Yes. LangChain is named in 89 of 2,045 job postings (4%) and required in 7 of them.
What cloud and platforms does Google use?
The cloud and platforms named in Google job postings are Linux (171), Unix (76), Kubernetes (56) (postings in brackets).
What skills do you need for a Backend job at Google?
Backend postings at Google most often require C++ (238), Python (163), Java (86), JavaScript (66), out of 386 postings in the last 12 months.
Is the Google tech stack changing?
Yes. LoRA, PEFT, pySpark, Chain-of-Thought first appeared in Google job postings in the last six months.
How modern is the Google tech stack?
Google 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: 10; legacy ones: 1.
How does Alion know the Google tech stack?
Alion reads every job posting Google publishes and tags the technologies each one names. The figures on this page count the 2,045 postings of the last 12 months and were updated on Sep 27, 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, "Google tech stack: 345 technologies from 2,045 job postings", as of Sep 27, 2026. https://alion.io/company/google/technologies