Technical Support Engineer
Kustomer- Full Time
- Entry Level & New Grad
Location Type: Remote Employment Type: Full-time Salary: Not specified
Cribl is a serious company that doesn’t take itself too seriously, seeking collaborative, curious, and motivated team members who are passionate about putting customers first. As a remote-first company, we empower our employees to do their best work wherever they are. Cribl is the data engine for IT and Security, trusted by major names in demanding industries to solve pressing data needs. This is a remote role based out of Spain.
As a Solutions Engineer, you will leverage your technical expertise and storytelling skills to help customers unlock the full potential of Cribl in real-world environments. With the freedom of remote work and the excitement of solving unique data challenges, every day offers new and impactful opportunities.
Cribl is a remote-first company focused on being the data engine for IT and Security. We believe in empowering our employees and fostering a culture where differences are valued and welcomed. We are building a team that is collaborative, curious, and motivated, with a shared passion for putting customers first.
Learn more about Cribl at cribl.io/about-us.
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Data observability solutions for tech businesses
Cribl operates in the data observability market, helping tech businesses monitor, analyze, and visualize their data for better operational and security insights. The company offers two main products: Cribl Stream and Cribl Edge. Cribl Stream enables businesses to efficiently route and transform logs and metrics, either on their own infrastructure or through cloud services, ensuring timely data delivery. Cribl Edge focuses on collecting and processing real-time observability data from edge devices, which can then be sent to Cribl Stream or other destinations. Cribl distinguishes itself by integrating seamlessly with platforms like Office 365 and Microsoft Azure, allowing clients to enhance their data management capabilities. The company's goal is to create effective data ecosystems that empower organizations to make sense of their data.