is a remote AI startup with open source at its core. Our AI-native vector database uses machine learning to create meaningful insights from unstructured data in a completely new way. Named one of Forbes’ Top 50 AI startups, and with over a million monthly downloads, Weaviate is quickly growing in popularity with developers and enterprises alike.
Our team works remotely across the globe with the flexibility to work from anywhere and at any time. Our employees operate with a strong sense of ownership and collaboration, prioritizing results while empowering each other to do their best work.
We are seeking a dynamic and skilled Quality Assurance (QA) Engineer to join our globally distributed team at Weaviate. In this role, you will play a crucial part in maintaining and improving the quality and reliability of our cutting-edge knowledge graph technology and database solutions. Our commitment is to foster a culture where quality is a shared responsibility across our development teams, making your role vital in achieving this objective. Given the nature of our expertise in pioneering vector databases, this position is directly connected with infrastructure, requiring a strong understanding of cloud infrastructure concepts. Additionally, one of our key goals is to automate all relevant processes, including the critical area of ensuring resiliency through the best practice of chaos engineering practices.
Have a look at this page to learn what you can expect from our interview process. Be aware that conducting a background check is part of our onboarding.
If you are interested in Weaviate and this role, you can apply via the ‘apply now!’ button below. All of our communication will be done in response to your application. If you have any questions feel free to reach out to our recruiter - and not to one of our colleagues (via LinkedIn). In this way, we ensure that our people can focus on doing their best work.
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