The table below provides summary statistics for permanent job vacancies advertised in Sunderland 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 15 January 2025, comparing them to the same period in the previous two years.
6 months to 15 Jan 2025
Same period 2024
Same period 2023
Rank
18
8
-
Rank change year-on-year
-10
-
-
Permanent jobs citing Serverless
1
8
0
As % of all permanent jobs advertised in Sunderland
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 Sunderland.
Permanent vacancies with a requirement for cloud computing skills
24
26
17
As % of all permanent jobs advertised in Sunderland
41.38%
46.43%
32.08%
Number of salaries quoted
10
23
12
10th Percentile
£32,500
£45,000
£21,950
25th Percentile
£36,625
£52,500
£30,500
Median annual salary (50th Percentile)
£55,000
£60,000
£35,000
Median % change year-on-year
-8.33%
+71.43%
-30.00%
75th Percentile
£75,313
£72,875
£41,750
90th Percentile
£80,000
£82,500
£43,625
Tyne and Wear median annual salary
£55,000
£52,500
£55,000
% change year-on-year
+4.76%
-4.55%
+4.76%
Serverless Job Vacancy Trend in Sunderland
Job postings citing Serverless as a proportion of all IT jobs advertised in Sunderland.
Serverless Salary Trend in Sunderland
3-month moving average salary quoted in jobs citing Serverless in Sunderland.
Serverless Top 23 Co-occurring Skills and Capabilities in Sunderland
For the 6 months to 15 January 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 Sunderland region with a requirement for Serverless.
Serverless Co-occurring Skills and Capabilities in Sunderland 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:
