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Principal Detection Engineer

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Hewlett Packard Enterprise

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Location:
United States, Spring

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

117500.00 - 270000.00 USD / Year
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Job Description:

We are seeking a highly skilled Principal Cyber Detection Engineer to join our team and lead efforts in developing and implementing advanced threat detection systems. This role requires expertise in Machine Learning (ML) and Artificial Intelligence (AI) technologies to design, train, and deploy models for detecting cyber threats and anomalous behaviors in real-time. The ideal candidate will be a hands-on technical expert with a strong understanding of cybersecurity, data analytics, and model-based detections, capable of driving innovation in threat detection strategies.

Job Responsibility:

  • Design, develop, and implement advanced threat detection systems leveraging ML/AI techniques to identify malicious activity, anomalies, and emerging risks
  • Build and optimize machine learning models for real-time detection, including supervised, unsupervised, and reinforcement learning approaches
  • Data engineering and pre-processing for cybersecurity applications
  • Analyze large-scale datasets to extract meaningful insights, detect patterns, and enhance the accuracy of detection systems
  • Develop and refine detection algorithms for intrusion detection, anomaly detection, endpoint security, behavioral analysis, and other cybersecurity applications
  • Automate detection workflows and processes to improve efficiency and scalability of security monitoring systems
  • Work closely with threat intelligence, red team, security operations, and data scientists to integrate detection models into security platforms and tools
  • Test, validate, and monitor the performance of detection models, ensuring reliability and minimizing false positives/negatives
  • Stay up to date with emerging threats, ML/AI technologies, and advancements in cybersecurity to continuously improve detection systems
  • Maintain clear documentation of models, processes, and methodologies for knowledge sharing across teams

Requirements:

  • Bachelor’s or master’s degree in computer science, cybersecurity, data science, or related engineering field
  • Certifications such as CISSP, CISM, CEH or OSCP preferred
  • Proven experience (8+ years) in cybersecurity, with a focus on threat detection and response
  • Deep understanding of cybersecurity frameworks and concepts, including attack vectors, threat landscapes, and defense mechanisms
  • Familiarity with SIEM/SOAR/ and EDR/XDR platforms
  • Strong expertise in Machine Learning (ML) and Artificial Intelligence (AI), including model design, training, and deployment
  • Knowledge of adversarial machine learning and techniques for defending against model exploitation
  • Experience with anomaly detection, behavioral modeling, and predictive analytics in cybersecurity contexts
  • Experience with deep learning architectures or natural language processing (NLP) applied to cybersecurity
  • Experience integrating machine learning models into security operations workflows in enterprise environments
  • Proficiency in languages such as Python, Go, SPL, YaraL, R, Java, SQL and frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Hands-on experience with big data technologies and cloud environments (AWS, Azure, GCP)
  • Familiarity with regulatory requirements and compliance frameworks (e.g., GDPR, NIST, ISO 27001)

Nice to have:

  • Contributions to detection engineering frameworks, open-source tools, or research publications
  • Leadership experience in shaping detection strategies and guiding cross-functional efforts
What we offer:
  • Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
  • Programs catered to helping you reach career goals
  • Flexibility to manage work and personal needs

Additional Information:

Job Posted:
October 01, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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