Detection Engineer & Threat Hunter
Israel
Varonis
The world's only fully automated DSPM. Continuously discover and classify critical data, remove exposures, and stop threats in real-time with AI-powered automation.
Summary Data has never been more valuable and vulnerable. As cybercriminals become more sophisticated and regulations more strict, organizations struggle to answer one key question: “Is my data safe?At Varonis, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. We’ve built the industry’s first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort.At Varonis, we move fast. We’re an ultra-collaborative company with brilliant people who care deeply about the details. Together, we’re solving interesting and complex puzzles to keep the world’s data safe. We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you. We are seeking a highly skilled and motivated Detection Engineer & Threat Hunter to join our team. As a Detection Engineer, you will be responsible for utilizing your strong Python skills and extensive security background to work closely with our Research Teams. Your role will involve understanding their research outcomes and translating them into actionable solutions on our proprietary platform, using Databricks and Pyspark. As a Threat Hunter, you will Proactively hunt for isolated advanced threat, utilize a variety of tools and tactics to analyze large data sets, Develop and improve threat hunting indicators & collaborate closely with other teams, such as forensics teams. While not directly working on SOC and SIEM systems, your background in these areas will be valuable in understanding security concepts and requirements. Experience with querying large datasets is an advantage. We are looking for candidates with exceptional personalities, enthusiasm, a strong work ethic, and a willingness to work hard and make a significant impact on a global scale. Excellent social skills, logic abilities, and self-discipline are crucial for this role. Responsibilities
- Collaborate closely with other teams within our group to understand their research outcomes and develop them into practical solutions.
- Work with Databricks and Pyspark to develop efficient and scalable solutions for processing and analyzing large datasets.
- Utilize Python programming skills and a strong security background to implement research findings on our proprietary platform.
- Collaborate with cross-functional teams to gather requirements and integrate security measures into the platform's architecture.
- leverage diverse datasets and signals from multiple sources to identify and neutralize threat actors
- Stay up to date with the latest security trends, attack vectors, and industry best practices to enhance detection capabilities.
- At least 3 years of background in security, with experience in SOC and SIEM operations.
- At least 1 year of Threat Hunting Experience
- Strong proficiency in Python programming, with the ability to write efficient, maintainable, and scalable code.
- Familiarity with security concepts, requirements, and best practices.
- Exceptional interpersonal skills with the ability to communicate effectively and collaborate with diverse teams.
- Strong logical reasoning and problem-solving abilities to analyze complex security-related issues.
- Self-discipline and strong development skills to effectively translate research outcomes into practical solutions.
- Enthusiasm for continuous learning and a strong desire to grow
- Experience with Databricks or similar technologies for querying and analyzing large datasets.
- Knowledge of Pandas and Pyspark is highly desirable.
* Salary range is an estimate based on our InfoSec / Cybersecurity Salary Index 💰
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Categories:
Security Engineering Jobs
Threat Intel Jobs
Tags: Databricks Forensics Python SIEM SOC
Perks/benefits: Career development Flex hours
Region:
Middle East
Country:
Israel
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