Salaries: Kubernetes

A tech-specific view of published salary ranges, plus real listings you can open and compare.

Active jobs
18
With salary
16
Coverage
89%
Range
€1,965–€8,153
Avg ~€3,518

Recent jobs (with or without salary)

Open a few listings to see typical stacks, expectations, and seniority.

Recent
Posted Saturday
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DevOps Engineer - on site Bucharest

1,965 - 2,358 EUR gross
ADECCO RESURSE UMANE SRL
București
Posted 13 Jan
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Posted 5 Jan
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Senior Data Platform & Cloud Engineer

3,733 - 4,715 EUR gross
Posted Nov 14
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Senior PHP Developer @Ascend NetSolutions

2,554 - 2,947 EUR gross
Posted Nov 4
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Solution Architect

1,965 - 2,947 EUR gross
Posted Nov 3
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Senior Full Stack Developer for Marketing Tracking Software

2,063 - 2,947 EUR gross
Posted Oct 2
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Senior Golang Developer

6,778 - 8,153 EUR gross
ITEAMLY SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Kraków
Posted Sep 28
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Software & Applied AI Engineer (Remote, Romania)

2,456 - 3,045 EUR gross
Posted Sep 25
View Details

Senior Azure DevOps Engineer | EU

5,501 - 6,876 EUR gross
Xebia
Wrocław
Remote (Romania)
Full-time
Posted Jul 30

How to read these numbers

Stats use only listings that publish a salary range (min–max). “Average” is estimated as the midpoint (min+max)/2, aggregated across salary listings.

Use the range as an anchor, then open recent listings to verify level, contract type, and scope before you compare offers.

FAQ

What is the average Kubernetes salary in Romania?
Based on listings that publish a range, the estimated average is ~€3,518 (range €1,965–€8,153).
Why does the coverage show 89%?
Coverage is the share of active Kubernetes listings that publish a salary range (min–max). The stats use only those listings.
What currency and period are these salaries?
Figures are shown in EUR and reflect how the listing is published. Use them as an anchor, then open listings to confirm contract type and scope.
How do I compare cities for Kubernetes?
Use the “Cities” list to open city pages with published ranges, then cross-check recent listings for seniority and responsibilities.

How to use these insights

  • Use the distribution to understand typical salary bands (not just averages).
  • Compare experience levels and technologies to calibrate negotiations and career moves.
  • Use the tools to estimate take-home pay (CIM) or contractor outcomes (PFA/SRL).

Important caveats

  • Charts use job listings with explicit salary ranges; not all jobs disclose pay.
  • Averages may use midpoints of ranges for aggregation.
  • Location, remote policy, and seniority labels come from listings and can vary by company.

Methodology

Data sources
We aggregate and analyze salary ranges from IT job listings published on IT Jobs List. Some listings include salary bands explicitly; others may not.
  • Active job listings on IT Jobs List
  • Salary ranges provided by employers (when present)
  • Job metadata (role, seniority, location, tech stack) used to group and compare results
Normalization and assumptions
To keep comparisons useful, we normalize the way we interpret listing data across companies.
  • Salary figures are displayed in EUR where possible; listings may use different currencies and compensation structures.
  • When a listing provides a range, we may use the midpoint for aggregate charts.
  • Remote/hybrid/office and employment type are taken from the listing and may differ across teams within the same company.
Limitations
These insights reflect the market as described by listings, not private compensation data.
  • Not all jobs publish salary ranges, so some segments may be under-represented.
  • Job titles vary between companies; we group them, but edge cases exist.
  • Outliers can appear; trends are more reliable than any single datapoint.