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The Vulnerability Researcher is responsible for gathering and analyzing security vulnerability data, automating tasks, troubleshooting issues, and enhancing the vulnerability detection database. The role requires knowledge of vulnerability classes, exploitation techniques, and scripting for automation.

As a Vulnerability Researcher, you will analyze and gather information on security vulnerabilities, including zero-day vulnerabilities. You'll update vulnerability data databases, troubleshoot issues, develop scripts for automation, and investigate latest security incidents. Strong programming skills and a solid understanding of security fundamentals are required.

This role involves researching various security vulnerabilities, including zero-day vulnerabilities, to enhance the CS security vulnerability detection database. Responsibilities include data gathering, analysis, automation of tasks, troubleshooting issues, and managing customer escalations related to security vulnerabilities.

As a Distributed Software Engineer at CrowdStrike, you will design and implement large scale distributed systems for data processing. Responsibilities include building a data pipeline using Flink/Spark in a Kubernetes environment, developing monitoring systems, and ensuring effective communication of problems within the team. You will work with both local and remote teams to create state-of-the-art solutions addressing high scale issues.

Specialist Sales Manager for Counter Adversary business at a global cybersecurity leader. Responsible for identifying, developing, and executing account strategies to close new business opportunities. Engage with CISOs and security leaders to position threat hunting and intelligence capabilities. Collaborate with cross-functional teams and partners to drive revenue growth. Must have 4+ years of selling enterprise platform solutions in cybersecurity markets.

As a Senior Consultant, you'll lead customer engagements with Falcon LogScale and Next-Gen SIEM, assist in deployment, resolve technical inquiries, and develop a technical roadmap. You will collaborate with internal and external teams to enhance product offerings and ensure successful implementation in customer environments.

As a Senior Applied Machine Learning Engineer, you will develop production machine learning models, tools for fine-tuning detections, and improve ML algorithms. Collaborating with threat researchers and data scientists, you'll create predictive models and develop automation tools, ensuring high-quality detection against cybersecurity threats.