DataStealth is a single, unified AI data security platform (DSP) that discovers, classifies, and protects sensitive data across your entire environment — from on-premise to legacy systems to cloud. Wherever your data lives or flows, we protect it using the latest technologies and AI. We do this without requiring complex integrations or changes to your existing applications, ensuring security that enables, rather than hinders, your business.
By seamlessly applying data protection strategies such as tokenization, we ensure that even if your perimeter is breached, your data remains unusable if it falls into the wrong hands.
Recognized for the fifth consecutive year as a Great Place to Work, we are one of the world's leading and fastest growing cybersecurity software companies. Our patented technology gives our large enterprise customers a paradigm-shifting way to solve the data security problems that legacy approaches cannot.
We are looking for a skilled DevOps Engineer to join our team and help streamline software delivery, infrastructure management, and system reliability. You will work closely with the rest of our engineering, QA, and operations teams to build scalable, secure, and automated solutions that support our growing applications and services. Your expertise will be crucial in driving successful deployments, optimizing customer experiences, and accelerating development processes.
This posting is for an existing vacancy. We use artificial intelligence (AI) to screen, assess, and select applicants.
DataStealth is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.
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