The table below provides summary statistics for permanent job vacancies advertised in High Wycombe requiring Kubernetes skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Kubernetes over the 6 months leading up to 4 May 2025, comparing them to the same period in the previous two years.
6 months to 4 May 2025
Same period 2024
Same period 2023
Rank
10
23
-
Rank change year-on-year
+13
-
-
Permanent jobs citing Kubernetes
1
2
0
As % of all permanent jobs advertised in High Wycombe
Kubernetes falls under the Systems Management category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring systems management skills in High Wycombe.
Permanent vacancies with a requirement for systems management skills
1
21
7
As % of all permanent jobs advertised in High Wycombe
3.23%
14.69%
8.86%
Number of salaries quoted
1
4
5
10th Percentile
-
£54,000
-
25th Percentile
-
£56,250
£22,500
Median annual salary (50th Percentile)
£80,000
£60,000
£32,000
Median % change year-on-year
+33.33%
+87.50%
-36.00%
75th Percentile
-
£62,500
£40,000
90th Percentile
-
-
£47,500
Buckinghamshire median annual salary
£50,500
£57,500
£45,000
% change year-on-year
-12.17%
+27.78%
-18.18%
Kubernetes Job Vacancy Trend in High Wycombe
Job postings citing Kubernetes as a proportion of all IT jobs advertised in High Wycombe.
Kubernetes Salary Trend in High Wycombe
3-month moving average salary quoted in jobs citing Kubernetes in High Wycombe.
Kubernetes Top 6 Co-occurring Skills and Capabilities in High Wycombe
For the 6 months to 4 May 2025, job vacancies citing Kubernetes also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the High Wycombe region with a requirement for Kubernetes.
Kubernetes Co-occurring Skills and Capabilities in High Wycombe by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
