IT tech demand

Which technologies employers ask for most, how much they pay for them, and where they are needed most. Data from a live database of open jobs across CIS and Europe, updated daily.

Updated: 10/20/2026, 10:41:06 PM UTC

Technology popularity trend

Index of the top-10 stacks relative to the period average (100). Above 100 means more mentions than a typical week. The series starts no earlier than 2026-08-10: before that, technology tags on jobs were assigned incorrectly.

🔥 Most in-demand technologies

Top-50 technologies by number of open jobs that mention them.

#	Technology	Jobs
1	cloud	51,378
2	python	32,615
3	aws	25,981
4	java	20,576
5	sql	19,434
6	azure	18,113
7	kubernetes	12,504
8	docker	10,605
9	react	10,602
10	go	10,286
11	javascript	10,108
12	llm	8,985
13	gcp	8,966
14	c++	8,012
15	typescript	7,817
16	sap	5,870
17	c#	5,741
18	postgresql	5,395
19	oracle	5,202
20	kafka	5,159
21	salesforce	4,983
22	angular	4,855
23	databricks	4,803
24	spring	4,791
25	terraform	4,265
26	google cloud	4,059
27	node.js	3,899
28	rust	3,612
29	snowflake	3,369
30	jenkins	3,242

Salary by technology

Median monthly salary across jobs that mention the technology. We show only those with enough data (at least 20 jobs with a salary).

Technology	Median, $/mo	Jobs in sample
solutions architect	$12,541	136
rust	$11,437	94
google cloud	$11,338	210
llm	$11,250	593
c++	$10,913	380
devsecops	$10,897	119
snowflake	$10,729	234
go	$10,507	431
salesforce	$10,163	258
backlog	$9,791	165
gcp	$9,519	664
servicenow	$9,187	148
cloud	$8,931	3,141
terraform	$8,846	400
aws	$8,750	1,676
oracle	$8,750	236
python	$8,333	2,452
blockchain	$8,333	63
kubernetes	$8,242	869
typescript	$8,195	575

Technologies by direction

What employers most often ask for in each direction. Top-8 technologies by number of mentions.

DevOps

cloud 8,233aws 4,736kubernetes 3,808azure 3,788docker 2,733python 2,504ansible 1,881terraform 1,875

Backend

java 6,456python 4,359cloud 3,430aws 2,183spring 2,146sql 2,110docker 1,929go 1,872

Fullstack

react 4,464java 3,826cloud 3,677typescript 2,846python 2,820javascript 2,549aws 2,474angular 2,103

Other

cloud 5,908python 3,718sap 2,927go 2,683sql 2,575aws 1,858oracle 1,284salesforce 1,262

Data

cloud 4,899python 4,720sql 4,695aws 2,769databricks 2,632azure 2,503snowflake 1,534airflow 1,356

Architect

cloud 4,585aws 2,474solutions architect 2,282azure 1,444python 1,195java 1,091kubernetes 718gcp 600

ML/AI

python 3,154cloud 2,046sql 1,401llm 1,229aws 1,055pytorch 1,032mlops 715azure 664

cloud 2,857python 1,841c++ 1,530java 1,494aws 968sql 962javascript 700c# 562

Platform Engineer

cloud 2,551aws 1,776azure 1,288kubernetes 1,279python 784terraform 676gcp 566docker 518

AI Engineer

llm 1,969cloud 1,940python 1,853aws 1,070azure 848langchain 630langgraph 485gcp 446

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How we calculate these numbers

Where the data comes from. Public sources — Telegram channels and job boards across CIS and Europe for IT.
What goes into the sample. Only live, open jobs with a clear description: the role is stated and at least a couple of key technologies. Spam and content-free fragments are filtered out.
Salaries. All amounts are normalised to USD/month and obvious outliers are removed. A technology shows a number only if at least 20 jobs with a salary are available for it.
Technologies. We take meaningful skills. Very generic terms (Git, REST, Agile, etc.) are excluded — they appear almost everywhere and do not help compare.

Data collected automatically from public sources • Source: Zorky CRM