
Software QA Engineer
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We are working with a cutting edge SaaS provider that supplies software tools for video ecosystems and platforms. Their products make use of AI and Machine Learning to enhance contextual searches in video content; enriching archives, through to production workflows and play-back. Their clients include well-known brands across Broadcast, Education, Sports and Business.
The increasing popularity of their products has created a need to expand the team once more. We are looking for QA Engineers (Junior/Mid/Senior roles available) to help preserve and improve the quality of the software suite as it scales.
Reporting to the QA manager and joining a small team position will have a large impact on the wider development team and practices. The core technical experienced required includes some of the following:
- Established experience with Cypress (JavaScript)
- Strong experience with Cucumber/BDD
- Excellent understanding of Testing, processes, tooling etc (The role will focus on automated testing)
- Previous experience with customer-facing websites
- Familiarity with Agile methodology (ideally Kanban)
- Experience with Jira
- A genuine passion for testing & QA
- Experience working in AWS is highly desirable, but not essential
The position is most suited to a career tester. Someone who has found their passion in software testing and is keen to define their career in that area.
The company are transitioning from a start-up phase into a large organisation and the team are looking for motivated engineers with a methodical approach to their work.
The QA Engineer is part of a fully remote working team, with no requirements to attend an office.
The hiring manager is looking for the most capable candidate on the market and is happy to match salary expectations based on relevant experience and ability. An attractive benefits package is included.
This is an exciting opportunity for an SDET or QA specialist to make a substantial impact in a thriving organisation, deploying some of the latest technologies in cloud platforms, AI and Machine Learning.