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IT skill · Tool· DevOps & Cloud

OpenSearch freelancers:
What the market really pays and wants.

Demand and trends for OpenSearch – calculated from 30 real project and job postings of the last 90 days. No survey, no guesswork without data.

As of: week 41/2026 · updated weekly
Listings (90 d)
30
Rank 527 of 532 skills
Of which must-have
20 %
Rated for 30 postings (AI analysis), otherwise “nice to have”
The jury's verdict on OpenSearch

A niche with little data.

OpenSearch sits at rank 527 of 532, rather at the edge of demand.

Small marketRank 527 of 532 skills, 30 postings in 90 days.
And how does your OpenSearch profile look?Check it for free

What is OpenSearch – and why do companies hire OpenSearch freelancers?

The postings that mention OpenSearch fall into these types of project (share of the classified postings):

Infrastructure and operations43 %
Cloud, automation and platform operations with OpenSearch.
Data and AI20 %
Data platforms, analytics and AI solutions with OpenSearch.
New development17 %
Building new applications, platforms and products with OpenSearch.
Testing and quality assurance17 %
Testing, quality assurance and acceptance of solutions with OpenSearch.

Typical roles

The roles hired most often are DevOps Engineer (47 %), QA Engineer (17 %), Software Architect (13 %) and Data Engineer (7 %). Of the postings that state an experience level, 57 % explicitly ask for senior profiles.

Who wants OpenSearch – and under which conditions

Seniority

Senior57 %
Mid-level40 %

Senior dominates (57 %).

Stated in 100 % of listings

Contract type

Freelance77 %
Permanent13 %
Temp agency10 %

Freelance dominates (77 %).

Stated in 100 % of listings

Project language

German87 %
English13 %

German dominates (87 %).

Stated in 100 % of listings

Current OpenSearch projects

Methodology: We count IT postings of the last 90 days that mention OpenSearch. Projects posted several times that are detected as duplicates count once; postings without an assignable IT category are missing, so the figures are a lower bound. The trend compares the share of all IT postings with the 90 days before and only appears with enough comparison data. We do not show figures based on fewer than 30 data points. The rating “must have” or “nice to have” comes from an AI analysis of the posting texts. Distributions only refer to postings that state the respective attribute; we state the coverage alongside. An AI assigns the project type and role of each posting from its title, category and skills; the shares are counted postings, not estimates, and only appear with enough classified postings.

Basis: 10,534 IT listings in the window

You now know the OpenSearch market.
Now let the jury judge your profile.

Your CV against 30 OpenSearch listings – with findings, strengths and an hourly-rate check.

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