Threat Detection Engineer
1 month ago
We are seeking an experienced Threat Detection Engineer to join our growing data analytics team at Forescout Technologies Inc. As a member of our data analytics team, you will work with agile continuous delivery teams collaborating with threat researchers, threat detection engineers, senior data scientists, and architects to deliver product capabilities and features.
Responsibilities:
- Develop rule-based detection algorithms in Python.
- Work with the detections engineering team to transform attacker TTPs into viable, low false-positive behavioral and signature detections using Python programming.
- Set up testing environments and conduct data analytics, data cleansing, and testing.
- Continuously evaluate security monitoring contents on XDR platform.
- Identify gaps in existing security capabilities.
- Work with SOC team to automate the detection of new threats.
- Create use-case documents for detected threats.
- Work with the development teams to design and support our security platform and services.
- Work with global threat detection and analytics engineering team, creating detection model in XDR.
- Perform exploratory data analysis on the processed dataset using Google Cloud platform Data analytic tools.
- Collaborate with development, operation, and field engineering team to enable successful Threat detection in XDR.
Requirements:
- At least 3+ years of recent hands-on professional experience working as a Threat detection engineer or threat researcher.
- Knowledge and insight into various cyber-attack lifecycle models.
- Python programming/scripting experience preferred.
- In-depth knowledge of security logging for Linux, Windows, Mac OS X, or Active Directory.
- Experience with web services, and cloud technologies, including Google Cloud Platform (GCP), AWS, Azure.
- Experience in Elasticsearch, Kibana, and GCP is preferred.
- Proficiency in building detection algorithms and utilizing logs and events to detect malicious activity with high fidelity from a broad set of detection use cases.
- Proficiency in, and knowledge of, TTPs related to a threat actor or APT group.
- Expertise in tools and techniques for analyzing large datasets.
- Work with the SOC team and customer to transform attacker TTPs into viable, low false-positive behavioral and signature detections using Python programming.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate large amounts of information with attention to detail and accuracy.
- Strong skills working with remote teams in different time zones.
What We Offer:
- Competitive compensation and benefits.
- Opportunities for professional growth and development.
- A diverse and inclusive culture.
- A collaborative and innovative environment.
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