Senior QA Automation Engineer

What's it all about?

The Senior QA Engineer role is an ambassador of quality. You’ll be joining one of our Agile Product squads which consist of a Software Engineering Manager, Software Engineers and fellow QA Engineers, reporting into a Tribe QA Engineering Manager. You will play a key role in ensuring the team delivers efficient, effective and scalable solutions for a wide range of problems. You will design, develop, build and maintain QA solutions and processes. You will also coach and guide all in the team on QA best practices.

Requirements

Experience:

• Has strong experience of API testing and/or contract testing
• Has strong experience integrating testing at various levels into CI/CD pipelines
• Has played a major role in the delivery of high quality solutions (ideally in a micro services environment) across large cloud-native architectures
• Has played a major role in designing, developing and evolving the test architecture of large scale, highly available cloud solutions
• Has driven positive change towards Continuous testing, DevOps and Agile
• Has an understanding of Cloud-Native architectures and practices. To name some: high-availability, high-scalability, microservices, 12-factor apps, CI/CD, heavy testing automation and observability.
• Ideally from a background in FinTech, Payments or Financial Services

Skills:

• Strong coding and scripting ability in Java and/or Ruby
• Excellent communication skills: written & verbal
• The ability to technically analyse a problem and a solution and recognise the right level of detail and abstraction to lead discussions with different stakeholders
• Comfortable challenging the status quo and always curious about the way things work
• A sound understanding of agile methods of software delivery and the principles and practices of BDD, ATDD and TDD
• The ability to work closely with technical and non-technical stakeholders in order to determine appropriate acceptance criteria for both business and technical needs
• Ability to make tactical as well as strategic decisions and recommendations based on incomplete or ambiguous information
• Excellent knowledge of CI/CD tools such as Jenkins or GitLab CI
• Strong knowledge of Docker and AWS (public cloud)
• Knowledge of Kubernetes (EKS) and Kafka is desirable
• Experience with mocking tools such as Wiremock