At a Glance
- Tasks: Lead and innovate in Test Automation for cutting-edge banking technology.
- Company: Join an award-winning bank's Technology, Data & Innovation division.
- Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and private healthcare.
- Other info: Opportunities for continuous learning and career progression await you.
- Why this job: Make a real impact while developing your skills in a supportive environment.
- Qualifications: Experience in Test Automation strategies and Agile frameworks required.
The predicted salary is between 60000 - 75000 £ per year.
An exciting opportunity for a driven Test Automation Engineer, to define and impact the strategic test automation approach across a cutting-edge, award-winning department in the Bank’s Technology, Data & Innovation (TDI) division. As the QA Lead Automation Engineer for Archiving Technology, working with Test Engineers and Product colleagues, you will play a key role in ensuring a thorough and consistent approach to Test Automation across our domain. You will lead the development and maintenance of Test Automation frameworks and scripts across Archiving Technology for both Functional and Non-Functional testing activities, analysing results and identifying opportunities for continuous improvement.
What we’ll offer you:
- Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them.
- Competitive salary and non-contributory pension.
- 30 days’ holiday plus bank holidays, with the option to purchase additional days.
- Life Assurance and Private Healthcare for you and your family.
- A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits.
- The opportunity to support a wide-ranging CSR programme + 2 days’ volunteering leave per year.
Your key responsibilities:
- Standardisation, Continuous Improvement & Maintenance of Test Automation Framework across the Archiving Technology including coding guidelines.
- Standard automation test approach to test the different layers of the Product i.e. UI, API, Database, etc.
- Automated Test Automation Dashboards for Archiving Tech.
- Coach and mentor the junior Quality Engineers on Test Automation.
- Knowledge sharing of approach and solution to Test Automation issues/challenges by demonstration.
- Standardising the definition of Non-Financial Risk (NFR) & related performance Testing approach; Adherence to Bank’s Performance monitoring standards.
Your skills and experience:
- Experience of defining & implementing Test Automation strategies in large IT organisations, ideally working in an Agile framework operating a CI/CD DevOps approach.
- Thorough understanding of TDD and BDD techniques including Gerkin, Cucumber syntax.
- Understanding of Automated design patterns – Page Object Model; Factory Design Pattern, Façade Pattern, Singleton Pattern.
- Significant experience of following tools: Selenium & Serenity Automation framework; TestNG; Junit; LoadRunner/Performance Centre; JMeter; Integrating test automation with Jenkins & Team City.
- Demonstrable experience of defining Non-Functional Requirements and developing performance testing automation frameworks.
- Good working knowledge of JIRA, Confluence, SharePoint online, O365, ServiceNow.
How we’ll support you:
- Training and development to help you excel in your career.
- Coaching and support from experts in your team.
- A culture of continuous learning to aid progression.
- A range of flexible benefits that you can tailor to suit your needs.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
QA Lead & Automation Engineer employer: SwiftCruit
At Global, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. As a Senior Machine Learning Engineer, you'll not only have the opportunity to influence millions through cutting-edge AI solutions but also benefit from a culture that encourages professional growth, cross-functional partnerships, and the development of reusable engineering standards. With a commitment to employee development and a focus on impactful projects, Global is the ideal place for those seeking meaningful and rewarding careers in data science and machine learning.
