The table below provides summary statistics for permanent job vacancies advertised in Peterborough requiring Serverless skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Serverless over the 6 months leading up to 23 May 2025, comparing them to the same period in the previous two years.
6 months to 23 May 2025
Same period 2024
Same period 2023
Rank
22
29
38
Rank change year-on-year
+7
+9
+13
Permanent jobs citing Serverless
1
4
4
As % of all permanent jobs advertised in Peterborough
Serverless falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring cloud computing skills in Peterborough.
Permanent vacancies with a requirement for cloud computing skills
28
73
60
As % of all permanent jobs advertised in Peterborough
31.46%
29.08%
32.09%
Number of salaries quoted
22
58
38
10th Percentile
£42,838
£24,850
£33,700
25th Percentile
£47,188
£26,813
£50,000
Median annual salary (50th Percentile)
£56,250
£47,500
£62,500
Median % change year-on-year
+18.42%
-24.00%
+31.58%
75th Percentile
£61,250
£64,063
£68,438
90th Percentile
£83,738
£70,036
£73,750
Cambridgeshire median annual salary
£49,500
£52,500
£50,000
% change year-on-year
-5.71%
+5.00%
-4.76%
Serverless Job Vacancy Trend in Peterborough
Job postings citing Serverless as a proportion of all IT jobs advertised in Peterborough.
Serverless Salary Trend in Peterborough
3-month moving average salary quoted in jobs citing Serverless in Peterborough.
Serverless Top 29 Co-occurring Skills and Capabilities in Peterborough
For the 6 months to 23 May 2025, job vacancies citing Serverless 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 Peterborough region with a requirement for Serverless.
Serverless Co-occurring Skills and Capabilities in Peterborough 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:
