Overview
Our Lead Test Engineers are held in high regard, well sought after, and highly valued members of the teams they work in. We are seeking individuals with the skills required to solve engineering challenges of QAT approaches and build strong collaborator relationships. Working alongside impactful multi-disciplinary teams, you will use your technical, delivery and leadership skills to drive outstanding, industry standard quality engineering practices. Your success will be linked to the success of the teams you work with, and you will play a pivotal role in helping your team deliver outcomes, safely and securely.
In return, we will invest in your learning and development, and you will be supported by guides in your job family, while having opportunities to mentor and be mentored. You will be a member of the test engineering practice. We invest in adopting innovative technology. We are actively developing quality strategies to assure AI based solutions, as well as its safe usage in quality engineering. Our test engineering practice will be a core part of these strategies.
Quality Engineering Tools and Technologies we use
* Frameworks: Serenity BDD (Selenium + RestAssured), Playwright, and several bespoke frameworks.
* DevOps: AWS, Azure, Jenkins, Drone, Concourse, Docker, Kubernetes, Terraform.
* Performance testing – Locust, JMeter.
* Other tools: Browserstack, Axe, ZAP, SonarQube.
* Observability and Monitoring: ELK, Grafana, Dynatrace.
What you will do
* Ownership of existing test frameworks and actively reviewing them, identifying need for new frameworks, and delivering these at scale.
* Leading and coaching a team of test engineers and helping solve technical challenges that the team may require assistance with, evaluating efficacy of test engineering processes across projects and suggesting improvements. Promoting convergence, creating shared capabilities and data driven approaches within test engineering.
* Embracing innovation - evaluating tools and recommending approaches that can benefit testing. For instance, ones used for virtualisation, data mocking, contract testing or other automated integration testing techniques, and determining tools and approaches for automated test data management, test results aggregation and release management. Enabling precise, real-time reports of automation test runs and also roll-up reports.
* Managing test infrastructure usage and determining approach to running distributed, parallel tests. Using container and cloud technology to orchestrate faster, scalable tests while optimising costs.
* Working with teams to promote use of code scan, code quality, accessibility testing and observability tools.
* Participating in the QAT Test Engineering community as well as QAT recruitment to help grow it.
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