Jazz Networks is taking on the demanding technical challenge to fix enterprise data and network security from within. For the last two decades, we’ve been consistently putting together the best London and Oslo R&D teams, building top-class network and communication technology companies that have sold for $270 million, $3.4 billion, and most recently $700 million. We know how to challenge and disrupt a technology market, go big quick, and have fun on the way.
We are looking for an extremely bright engineer to form part of a team dedicated to testing all aspects of our products, including scalability, performance, reliability and functionality. The role will involve designing and building test automation platforms, and using them alongside manual testing. Technologies under test include big data pipelines, endpoint software deployment, kernel software, endpoint simulation, machine learning, network APIs and much more. It will also involve simulating large customer deployments and generating suitable test traffic. The engineer will join our R&D team in Uxbridge (West London).
The Jazz Networks Software Test Engineer is a self-motivated professional, with the imagination, attention to detail and skills to use or develop the right tools to test our products to the limits of scalability and endurance. The ideal candidate will be proficient in building networks and test tools to simulate network traffic and in scaling testing using virtualized deployment techniques. The candidate should have achieved excellent academic results from a leading university or be able to demonstrate outstanding technical ability. All experience levels will be considered.
Experience or expertise in any of the following areas would be an advantage:
- Programming and scripting
- Networking and API testing
- Development of test strategies and creation of test cases
- Cloud platforms, containerization and virtualization
- Service Oriented Architectures
- Full time
- Attractive salary / equity
- Visa sponsorship available
- Additional company benefits based on location