LinkedIn tech stack
LinkedIn builds mostly with Python, SQL, Java, C++. Its stack also includes Kubernetes, Azure, PyTorch, React.js. Python is named in 81 of the 193 job postings LinkedIn published in the last 12 months (42%). Counted by Alion from the job postings of LinkedIn, updated Nov 12, 2026.
What programming languages does LinkedIn use?
Python is named in 42% of job postings at LinkedIn, followed by SQL (32%), Java (25%), C++ (12%).
C++ 
Show all (20)
What frameworks and libraries does LinkedIn use?
PyTorch is named in 5% of job postings at LinkedIn, followed by React.js (3%), Flink (3%), TensorFlow (3%).
PyTorch
10 5%
React.js
6 3%
Flink
5 3%
TensorFlow
5 3%
LangChain
4 2%
Ember.js
3 2%
Hadoop
3 2%
Show all (34)
What databases does LinkedIn use?
MySQL is named in 3% of job postings at LinkedIn, followed by Presto (2%), Oracle (2%), PostgreSQL (2%).
Show all (10)
What cloud and platforms does LinkedIn use?
Kubernetes is named in 9% of job postings at LinkedIn, followed by Azure (9%), Power BI (8%), Spark (8%).
Kubernetes
18 9%
Azure
17 9%
Power BI
16 8%
Spark
15 8%
Tableau
14 7%
AWS
12 6%
GCP
11 6%
Show all (38)
What developer tools does LinkedIn use?
Copilot is named in 10% of job postings at LinkedIn, followed by Microsoft Excel (6%), Claude Code (6%), gRPC (5%).
Copilot
20 10%
Claude Code
11 6%
gRPC
9 5%
Rest API
7 4%
GraphQL
6 3%
Git
6 3%
Show all (24)
What AI and ML technologies does LinkedIn use?
LLM is named in 13% of job postings at LinkedIn, followed by Claude (3%), Flash Attention (1%), ChatGPT (1%).
Which engineering practices does LinkedIn ask for?
CI/CD is named in 20% of job postings at LinkedIn, followed by AI Agents (20%), Machine Learning (19%), A/B Testing (12%).
CI/CD
39 20%
AI Agents
39 20%
Fine-tuning
10 5%
Show all (47)
And 7 more, each named in fewer postings.
What does each LinkedIn team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
29 postingsSales
20 postingsSecurity
16 postingsAI/ML
15 postingsHow does your stack fit LinkedIn?
How much does LinkedIn pay by technology?
Median stated pay of the postings that name each technology, against the median of all LinkedIn postings with stated pay: $237k across 116 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 55 | $231k | −3% |
| SQL | 39 | $212k | −11% |
| Java | 31 | $255k | +8% |
| LLM | 20 | $251k | +6% |
| Linux | 13 | $255k | +8% |
| Scala | 13 | $236k | 0% |
| JavaScript | 13 | $212k | −11% |
| C++ | 12 | $271k | +14% |
| Kubernetes | 12 | $255k | +8% |
| Spark | 12 | $236k | 0% |
How is the LinkedIn 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 LinkedIn stack?
LinkedIn scores 80 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: 4; legacy ones: 0.
How common is the LinkedIn stack in its industry?
Share of the 1,270 companies in the same industries, whose stack Alion knows, that use each technology.
What sets LinkedIn apart
Companies with a stack like LinkedIn
Questions about the LinkedIn tech stack
What programming languages does LinkedIn use?
The languages named in LinkedIn job postings are Python (42%), SQL (32%), Java (25%), C++ (12%), JavaScript (10%), as a share of the 193 postings of the last 12 months.
Does LinkedIn use PyTorch?
Yes. PyTorch is named in 10 of 193 job postings (5%) and required in 2 of them.
What cloud and platforms does LinkedIn use?
The cloud and platforms named in LinkedIn job postings are Kubernetes (18), Azure (17), Power BI (16) (postings in brackets).
What skills do you need for a Backend job at LinkedIn?
Backend postings at LinkedIn most often require Python (16), C++ (13), Java (13), C# (10), out of 29 postings in the last 12 months.
Is the LinkedIn tech stack changing?
Yes. Amazon CloudWatch, Bash, Datadog, GitLab first appeared in LinkedIn job postings in the last six months.
How modern is the LinkedIn tech stack?
LinkedIn scores 80 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: 4; legacy ones: 0.
How does Alion know the LinkedIn tech stack?
Alion reads every job posting LinkedIn publishes and tags the technologies each one names. The figures on this page count the 193 postings of the last 12 months and were updated on Nov 12, 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, "LinkedIn tech stack: 177 technologies from 193 job postings", as of Nov 12, 2026. https://alion.io/company/linkedin/technologies