Test Automation Engineer (UI Automation)

Our client is a leading global provider of real-time aggregated sports odds, helping clients stay ahead in the ever-changing global market 24/7, 365 days a year. They offer intelligent and integrity-led insights through B2B products, including versatile APIs, highly customizable low-latency feeds, and advanced Big Data analytics.

• Develop and implement comprehensive integration tests for various subsystems and end-to-end tests across larger systems.
• Define and enhance performance test approaches for the distributed and clustered deployments.
• Devise automation approaches for the tests to become easy and repeatedly executable.
• Specify, estimate, and carry out testing throughout the development lifecycle.
• Systematically capture, analyze, and report integration test results and raw performance metrics, ensuring clarity for both technical and non-technical stakeholders.
• Take responsibility for areas of process improvement specifically in relation to integration and performance testing.
• Propose architectural changes in the evolving and existing systems based on the results of the tests.
• Lead on the assessment and selection of integration and performance testing tools that will work with and stretch the products and service’s functional and performance characteristics.
• Help build the team and culture of testing across other teams
• Share knowledge freely during our team learning sessions. Assist and support less experienced colleagues as required on the appropriate integration and performance testing activities for their products and the use of tools to undertake that testing.

• Proven experience in integration and performance testing, primarily utilizing JVM-based solutions and custom Java or Scala code, alongside key Linux automation tools.
• Familiarity with network stack operations, Linux OS optimization, and identifying performance bottlenecks in distributed systems.
• Hands-on experience with Application Process Interfaces (APIs) and web applications, as well as various streaming protocols.
• Proficient in using Java, Scala, or Python to create performance-testing assets.
• Experience with performance testing in cloud environments, particularly AWS or Azure.

• Experience in the sports data information or betting systems domain is a plus.
• Familiarity with financial, trading, and risk management systems is an advantage.