OpenShift Job Trends in Kingston Upon Thames

Red Hat OpenShift
South London > Kingston Upon Thames

The table below provides summary statistics and salary benchmarking for jobs advertised in Kingston Upon Thames requiring OpenShift skills. It covers permanent job vacancies from the 6 months leading up to 1 November 2025, with comparisons to the same periods in the previous two years.

6 months to
1 Nov 2025
Same period 2024 Same period 2023
Rank 19 - 22
Rank change year-on-year - - +28
Permanent jobs citing OpenShift 1 0 2
As % of all permanent jobs in Kingston Upon Thames 1.04% - 2.00%
As % of the Cloud Services category 4.17% - 9.09%
Number of salaries quoted 0 0 2
10th Percentile - - -
25th Percentile - - £54,000
Median annual salary (50th Percentile) - - £58,000
75th Percentile - - £62,000
90th Percentile - - -
South London median annual salary - - £58,000

All Cloud Skills
Kingston Upon Thames

OpenShift 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 Kingston Upon Thames.

Permanent vacancies with a requirement for cloud computing skills 24 40 22
As % of all permanent jobs advertised in Kingston Upon Thames 25.00% 26.85% 22.00%
Number of salaries quoted 22 11 21
10th Percentile £42,500 £25,500 £32,500
25th Percentile £43,750 £33,375 £46,250
Median annual salary (50th Percentile) £65,000 £42,500 £57,500
Median % change year-on-year +52.94% -26.09% -23.33%
75th Percentile £67,500 £67,250 £67,500
90th Percentile - - -
South London median annual salary £42,500 £65,750 £58,000
% change year-on-year -35.36% +13.36% +5.45%

OpenShift
Job Vacancy Trend in Kingston Upon Thames

Historical trend showing the proportion of permanent IT job postings citing OpenShift relative to all permanent IT jobs advertised in Kingston Upon Thames.

OpenShift job vacancy trend in Kingston Upon Thames

OpenShift
Co-Occurring Skills & Capabilities in Kingston Upon Thames 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:

Cloud Services
1 1 (100.00%) H2O.ai
Database & Business Intelligence
1 1 (100.00%) Data Lake
1 1 (100.00%) Metadata
General
1 1 (100.00%) Finance
1 1 (100.00%) Manufacturing
Libraries, Frameworks & Software Standards
1 1 (100.00%) Keras
1 1 (100.00%) PyTorch
1 1 (100.00%) TensorFlow
Miscellaneous
1 1 (100.00%) Data Centre
1 1 (100.00%) Management Information System
Processes & Methodologies
1 1 (100.00%) AI
1 1 (100.00%) Analytics
1 1 (100.00%) Business Development
1 1 (100.00%) Coaching
1 1 (100.00%) Computer Science
1 1 (100.00%) Customer Engagement
1 1 (100.00%) Data Engineering
1 1 (100.00%) Data Governance
1 1 (100.00%) Data Ingestion
1 1 (100.00%) Data Integration
1 1 (100.00%) Data Management
1 1 (100.00%) Machine Learning
1 1 (100.00%) Metadata Management
1 1 (100.00%) Presales
1 1 (100.00%) Product Management
1 1 (100.00%) Service Delivery
1 1 (100.00%) Stakeholder Management
1 1 (100.00%) Translating Business Requirements
1 1 (100.00%) Value Proposition
1 1 (100.00%) Workshop Facilitation
Qualifications
1 1 (100.00%) Computer Science Degree
1 1 (100.00%) Degree
1 1 (100.00%) Master's Degree
Quality Assurance & Compliance
1 1 (100.00%) Data Quality
Vendors
1 1 (100.00%) Databricks
1 1 (100.00%) Dell
1 1 (100.00%) NVIDIA