Non-Functional and Performance Test Consultant with 21+ years delivering performance, resilience and Operational Acceptance Testing (OAT) for large, mission-critical applications. His expertise covers the full non-functional testing lifecycle, from NFT strategy, volumetric modelling and risk assessment through to load test design, execution, bottleneck analysis and tuning recommendations. Whilst the bulk of his recent work has been in UK central government and regulated enterprise (HMRC, Home Office, DWP, HSBC, RBS, Sky), his tooling depth and cloud performance testing skillset transfer readily across sectors handling high-volume, business-critical systems.

Key Skills:

• Performance and NFT test tooling including Apache JMeter, K6, Locust, NeoLoad, LoadRunner and Gatling.
• Cloud performance testing and monitoring across AWS and Azure, using Grafana, Dynatrace, AppDynamics, ELK and Splunk.
• Automation and scripting in Python, Bash, Perl and Java, with BDD frameworks (Serenity, Cucumber, Selenium, REST Assured) for API and microservices testing.
• NFT strategy and performance engineering: load, stress, soak and volume test design, baseline metric derivation, and CI/CD performance integration.

Key Impacts:

• Led large-scale data centre migration testing programmes across on-premises, AWS and Azure for the Home Office and Sky, defining NFT strategy, risk assessments, volumetric models and production baseline metrics.
• Defined and owned the NFT testing strategy and framework for critical Home Office border and law enforcement services, including Digital Service at Border and the Law Enforcement Data Service (LEDS).
• Designed and executed load, stress and endurance test cycles for microservices and API-based applications, embedding security validation such as authentication flow and certificate expiry checks into performance testing.
• Built performance dashboards and monitoring using Grafana, Dynatrace and Kibana/Elastic, delivering tuning recommendations and impact reports that supported go/no-go release decisions on high-volume systems.