Google tech stack
Google builds mostly with Python, C++, SQL, Java. Its stack also includes Linux, LangChain, LangGraph, Kubernetes. Python is named in 1,702 of the 5,192 job postings Google published in the last 12 months (33%). Counted by Alion from the job postings of Google, updated Nov 10, 2026.
What programming languages does Google use?
Python is named in 33% of job postings at Google, followed by C++ (26%), SQL (14%), Java (10%).
Python
1702 33%
C++
1357 26%
SQL
740 14%
Java
526 10%
JavaScript
523 10%
TypeScript
215 4%
Go
198 4%
Kotlin
144 3%
Show all (42)
And 2 more, each named in fewer postings.
What frameworks and libraries does Google use?
LangChain is named in 4% of job postings at Google, followed by LangGraph (4%), CrewAI (3%), PyTorch (2%).
LangChain
218 4%
LangGraph
197 4%
CrewAI
155 3%
PyTorch
127 2%
TensorFlow
121 2%
JAX
88 2%
AutoGen
68 1%
UVM
68 1%
Show all (88)
And 48 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%), Apache Iceberg (1%), Oracle (<1%).
MySQL
47 1%
PostgreSQL
30 1%
Apache Iceberg
26 1%
Oracle
16 <1%
Delta Lake
10 <1%
Redis
6 <1%
Snowflake
6 <1%
Core Data
5 <1%
Show all (18)
What cloud and platforms does Google use?
Linux is named in 8% of job postings at Google, followed by Kubernetes (3%), Unix (3%), Windows (1%).
Kubernetes
175 3%
Spark
63 1%
RTOS
31 1%
Show all (71)
And 31 more, each named in fewer postings.
What developer tools does Google use?
Model Context Protocol is named in 3% of job postings at Google, followed by Formal Verification (1%), Terraform (1%), Rest API (1%).
Model Context Protocol
175 3%
Terraform
40 1%
Rest API
28 1%
Semantic Kernel
28 1%
SLURM
26 1%
pySpark
25 <1%
Docker
25 <1%
Show all (125)
And 85 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%), BERT (<1%), Stable Diffusion (<1%).
LLM
591 11%
Core ML
20 <1%
BERT
8 <1%
Stable Diffusion
5 <1%
LoRA
5 <1%
PEFT
5 <1%
Claude
4 <1%
Veo
3 <1%
Show all (18)
Which engineering practices does Google ask for?
Machine Learning is named in 20% of job postings at Google, followed by AI Agents (17%), Agentic Workflows (5%), RAG (4%).
AI Agents
878 17%
RAG
218 4%
Multimodal AI
212 4%
Fine-tuning
192 4%
Computer Vision
185 4%
Reinforcement Learning
166 3%
Show all (130)
And 90 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
874 postingsSolutions
559 postingsProduct
548 postingsAI/ML
530 postingsHardware
319 postingsSales
312 postingsHow does your stack fit Google?
How much does Google pay by technology?
Median stated pay of the postings that name each technology, against the median of all Google postings with stated pay: $131k across 72 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 15 | $157k | +20% |
| Java | 9 | $130k | −1% |
| C++ | 6 | $131k | 0% |
| LangChain | 5 | $130k | −1% |
| LangGraph | 5 | $130k | −1% |
| CrewAI | 5 | $130k | −1% |
| AutoGen | 5 | $130k | −1% |
| Kubernetes | 5 | $128k | −2% |
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 75 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: 18; legacy ones: 1.
How common is the Google stack in its industry?
Share of the 1,785 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 (33%), C++ (26%), SQL (14%), Java (10%), JavaScript (10%), as a share of the 5,192 postings of the last 12 months.
Does Google use LangChain?
Yes. LangChain is named in 218 of 5,192 job postings (4%) and required in 13 of them.
What cloud and platforms does Google use?
The cloud and platforms named in Google job postings are Linux (420), Kubernetes (175), Unix (164) (postings in brackets).
What skills do you need for a Backend job at Google?
Backend postings at Google most often require C++ (509), Python (338), Java (180), JavaScript (140), out of 874 postings in the last 12 months.
Is the Google tech stack changing?
Yes. Snowflake, IEC 61850, Hybrid Search, Amazon EKS first appeared in Google job postings in the last six months.
How modern is the Google tech stack?
Google scores 75 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: 18; 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 5,192 postings of the last 12 months and were updated on Nov 10, 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: 495 technologies from 5,192 job postings", as of Nov 10, 2026. https://alion.io/company/google/technologies