Enterprise Support Specialist (m/f/d) in Hungary

Permanent employee, Full-time · Hungary

Description
​​​​​​​​KNIME is growing rapidly and we’re seeking smart, motivated, and creative people up for the challenge of helping us achieve ambitious scaling goals while continuing to empower the active community. Right now, we are looking for an Enterprise Support Specialist to join our team at KNIME in Hungary.*
Who you are
You are a technically skilled professional with expertise in Kubernetes, Docker, and RESTful APIs. You have experience administering software solutions on Linux and/or Windows platforms, with a strong background in software support, ticket management, and escalation processes. Your knowledge includes JVM, Kubernetes deployments, Identity Providers (e.g., Keycloak), LDAP, SQL, Hadoop, and cloud infrastructures like AWS, Azure, and Google Cloud. You have exceptional english proficiency in both written and verbal communication.
You communicate technical concepts clearly to a diverse audience and are self-organized, curious, and eager to learn. While a basic understanding of German is a bonus, your strengths lie in your technical expertise and adaptability.
That's the job
At its core, your role as a Support Specialist at KNIME, revolves around overcoming technical challenges while maintaining effective communication with our customers and internally. Your primary responsibilities encompass classifying, prioritizing, analyzing, troubleshooting, and ultimately resolving support tickets via our ticketing system and forum. Your focal point will be providing outstanding support for our KNIME Business Hub and KNIME Analytics Platform. You may find yourself engaging in calls to troubleshoot issues and occasionally building KNIME workflows to facilitate resolution (don't worry, we'll provide guidance as you learn). Your contribution to process refinement and tool enhancement will be ongoing. The insights gained from your experiences will be
relayed to the development team, contributing to our collective pursuit of crafting exceptional software. Expect a close partnership with fellow support agents such as Michael, Marvin, Nick, and Zack, as well as direct collaboration with members of our development team, including Thorsten, Bernd, and Moritz.
About us
KNIME is a fast-growing international Enterprise Software company. At KNIME, we build innovative software to help individuals and organizations make sense of their data through an intuitive, visual approach to data analytics and through integrations to the most advanced data science and AI/ML techniques on the market. KNIME Software comprises two products: the free and open KNIME Analytics Platform which has an intuitive low-code, no-code interface that allows anyone from spreadsheet users to seasoned data scientists to analyze their data; and KNIME Business Hub, its commercial complement that allows for large-scale collaboration and dissemination of insights across an enterprise.

At the core, we are an open-source company, which requires KNIMErs often to challenge and rethink conventional commercial strategies and ensure that the user – whether free or commercial – is at the center of every decision being made. At KNIME, you’ll gain experience working with industry leaders in their field – KNIME is used by many Fortune 500 enterprise customers, across 60 countries.
 
 
*Though we are happy to have applicants from further away, we’re not offering relocation benefits for this position.
Join us at KNIME
We do not expect elaborate explanations of how you might fit with our team but adding a paragraph or two explaining how your expertise and interests match what we do at KNIME will help us put your application into context (and have it stick out among the many mass applications that we unfortunately receive every day as well). 
 
And if you do believe your background and interests fit in with KNIME in other ways not listed above, please apply for the initiative application. In that case, definitely add a few explanatory paragraphs and ideally point us to an example or two of your past work and explain how you think this could fit with KNIME.
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