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At Securonix, we’re on a mission to secure the world by staying ahead of cyber threats, reinforcing all layers of our platform with AI capabilities. Our Securonix Unified Defense SIEM provides organizations with the first and only AI-Reinforced solution built with a cybersecurity mesh architecture on a highly scalable data cloud. Enhanced by Securonix EON’s AI capabilities, our innovative cloud-native solution delivers a seamless CyberOps experience, empowering organizations to scale their security operations and keep up with evolving threats.
Recognized as a five-time leader in the Gartner Magic Quadrant for SIEM and highly rated on Gartner Peer Insights, our award-winning Unified Defense SIEM provides organizations with 365 days of ‘hot’ data for rapid search and investigation, threat content-as-a-service, proactive defense through continuous peer and partner collaboration, and a fully integrated Threat Detection, Investigation, and Response (TDIR) experience—all within a single platform. Built on a cloud-native architecture, the platform leverages the Snowflake Data Cloud for unparalleled scalability and performance.
Securonix is proud to be a cybersecurity unicorn and featured in CRN's 2024 Security 100 list. Backed by Vista Equity Partners, one of the largest private equity firms with over $100 billion in assets under management, we have a unique advantage in driving innovation and growth. With a global footprint, we serve more than 1,000 customers worldwide, including 10% of the Fortune 100. Our network of 150+ partners and Managed Security Service Providers (MSSPs) enables us to deliver unmatched security solutions on a global scale.
At Securonix, we are driven by our core values and place our people at the heart of everything we do:
Join us as we redefine cybersecurity, innovate fearlessly, and grow together as one team.
Role Summary:
We are looking for a savvy Security Engineer to join as an intern in our growing team of analytics experts with hands-on experience to work on cutting edge technology. The hire will be responsible for expanding and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams which will impact the overall UEBA (User Entity Behavior Analytics) use cases. An ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems & building them from the ground up and will be responsible for out-of-the-box threat use case delivery. The Data Engineer will support our software developers, SIEM engineers, data analysts and work with the Threat Lab data scientists on data parsing, use case delivery and will ensure optimal delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation SIEM (Security Information and Event Management).
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Securonix provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. Securonix complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation and training.
Securonix expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability or veteran status. Improper interference with the ability of Securonix employees to perform their expected job duties is absolutely not tolerated.
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