Principal Detection Engineer

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Job Description:

About our cybersecurity team

Are you ready to make an impact at one of the world’s leading tech companies? HPE’s Cybersecurity team is where you can do just that! We’re looking for a dynamic and experienced Principal Detection Engineer to join our Cybersecurity team. If you’re passionate about shaping the future of cybersecurity and ready for your next challenge, we’d love to hear from you.

About the role

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. As a Detection Engineer at HPE, you will be responsible for strengthening our detection engineering program, scaling detection coverage, increasing alert fidelity, and reducing mean time to detect.

About You

You have a strong analytical and problem-solving mindset. You have experience with feature engineering on large, noisy security datasets. You have background in adversarial ML, and detection resiliency against evasion. You have familiarity with modern data infrastructure. You have contributions to detection engineering frameworks, open-source tools, or research publications, and proven leadership experience in shaping detection strategies and guiding cross-functional efforts. Your experience enables you to explain complex technical issues to non-technical audiences, and you have a track record of mentoring and technical leadership.

Responsibilities

• 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.

Education & Experience 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).

#cybersecurity

Accountability, Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Bias, Business, Coaching, Creativity, Critical Thinking, Cybersecurity, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design Thinking, Development Methodologies, Empathy, Follow-Through, Growth Mindset, Implementation Methodologies, Infrastructure Design, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 4 more}

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

#unitedstates

#technologyandsoftware

Job:

Information Technology

Job Level:

TCP_05

States with Pay Range Requirement

The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html.

USD Annual Salary: $117,500.00 - $270,000.00

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.