Infrastructure as Code (IaC, Infra as Code) Somerset> Taunton
The table below provides summary statistics and salary benchmarking for jobs advertised in Taunton requiring Infrastructure as Code skills. It covers permanent job vacancies from the 6 months leading up to 5 November 2025, with comparisons to the same periods in the previous two years.
Infrastructure as Code falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Taunton.
Permanent vacancies with a requirement for process or methodology skills
57
23
35
As % of all permanent jobs advertised in Taunton
77.03%
100.00%
83.33%
Number of salaries quoted
49
9
23
10th Percentile
£15,423
£47,000
£32,500
25th Percentile
£28,000
£52,000
£34,250
Median annual salary (50th Percentile)
£35,000
£55,000
£43,889
Median % change year-on-year
-36.36%
+25.32%
+7.70%
75th Percentile
£42,500
£62,500
£57,720
90th Percentile
£50,000
£63,750
£66,160
Somerset median annual salary
£40,000
£52,000
£47,500
% change year-on-year
-23.08%
+9.47%
-5.00%
Infrastructure as Code Job Vacancy Trend in Taunton
Historical trend showing the proportion of permanent IT job postings citing Infrastructure as Code relative to all permanent IT jobs advertised in Taunton.
Infrastructure as Code Salary Trend in Taunton
Salary distribution trend for jobs in Taunton citing Infrastructure as Code.
Infrastructure as Code Top 13 Co-Occurring Skills & Capabilities in Taunton
For the 6 months to 5 November 2025, job vacancies citing Infrastructure as Code also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Taunton region with a requirement for Infrastructure as Code.
Infrastructure as Code Co-Occurring Skills & Capabilities in Taunton by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
