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Staff Detection Engineer - Cloud (AWS/GCP/Azure)

United States - Remote

About Us:

SentinelOne is defining the future of cybersecurity through our XDR platform that automatically prevents, detects, and responds to threats in real-time. Singularity XDR ingests data and leverages our patented AI models to deliver autonomous protection. With SentinelOne, organizations gain full transparency into everything happening across the network at machine speed – to defeat every attack, at every stage of the threat lifecycle. 

We are a values-driven team where names are known, results are rewarded, and friendships are formed. Trust, accountability, relentlessness, ingenuity, and OneSentinel define the pillars of our collaborative and unified global culture. We're looking for people that will drive team success and collaboration across SentinelOne. If you’re enthusiastic about innovative approaches to problem-solving, we would love to speak with you about joining our team!

What are we looking for?

We are seeking highly motivated individuals to join our Platform Detection Rules Team. The ideal candidates will have a strong background in detection engineering, with a focus on rule development for XDR or similar platforms. We are looking for team players, adept at crafting precise and effective detection rules, and committed to staying at the forefront of cybersecurity advancements. If you are passionate about contributing to innovative cybersecurity solution

What will you do?

As a Staff Cloud Detection Engineer, you will lead the development of out-of-the-box detection rules that leverage cloud data sources to bolster our XDR capabilities. Your role will involve collaborating with cross-functional teams to ensure that rules are aligned with cloud security best practices, integrating with cloud-native services, and providing cutting-edge threat detection solutions.

You will be responsible for the following:

  • Lead the development of default rules that harness cloud data sources for threat detection.
  • Ensure that rules are optimized for cloud-native environments such as AWS, Azure, and GCP.
  • Develop strategies for correlating detection events across multiple cloud platforms, enhancing the efficiency and effectiveness of detection rules.
  • Conduct rigorous analysis of false positives associated with cloud-specific rules.
  • Implement automated testing procedures to ensure robustness and coverage of detections.
  • Contribute to optimization efforts to minimize false positives and enhance rule accuracy in cloud environments.
  • Stay current with cloud security best practices, industry trends, and emerging technologies.
  • Maintain comprehensive documentation for cloud-specific default rules.
  • Share knowledge and best practices with team members to foster continuous learning.

What experience …

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