The detection engineer is a member of the Cyber Defense Capabilities team and is responsible for designing, implementing, and continuously validating detection capabilities for CSIRT. This includes building high-fidelity detection logic, regression testing to ensure detections remain effective over time, and executing breach and attack simulations (BAS) to align detection coverage with evolving adversary techniques and threat intelligence.
The detection engineer works closely with incident responders, threat hunters, and threat intelligence analysts to drive continuous improvement and reduce mean time to detect (MTTD)
Your role:- Develop, test, and maintain detection rules, signatures, and correlation logic in SIEM and related platforms.
- Conduct regression testing of detection rules to ensure accuracy, resilience, and functionality following system updates or logic changes.
- Perform breach and attack simulations (BAS) to validate detection use cases, tied directly to threat intelligence and adversary TTPs.
- Map detection logic to adversary techniques using frameworks such as MITRE ATT&CK and ensure coverage of priority threat scenarios.
- Integrate threat intelligence feeds, IOCs, and behavioral patterns into detection workflows.
- Regularly tune and refine detection logic to reduce false positives and optimize alert fidelity.
- Partner with incident response and threat hunting teams to validate detections, perform purple team exercises, and address detection gaps.
- Automate enrichment, correlation, and triage processes through SOAR playbooks and custom scripts.
- Implement lessons learned from incidents and simulations into new or improved detections.
- Maintain documentation, detection repositories, and test playbooks for operational continuity.
- Contribute to SOC metrics, including detection coverage, false positive ratios, regression test outcomes, and BAS validation reports.
- Bachelor’s degree in Cybersecurity, Computer Science, or related field.
- Minimum 2 years of experience in areas such as Security Architecture, Network Security, Cybersecurity Technology, Information Security or equivalent
- Strong experience with SIEM platforms (e.g., Splunk, Sentinel).
- Proficiency in detection engineering, log parsing, and data normalization.
- Working knowledge of artificial intelligence concepts and practical experience applying AI or machine learning techniques within cybersecurity functions, such as threat analysis, automation, or analytics.
- Familiarity with adversary simulation tools (e.g., AttackIQ, Caldera, commercial BAS platforms).
- Knowledge of threat intelligence integration and frameworks (MITRE ATT&CK).
- Scripting ability in Python, PowerShell, or similar languages.
- Experience with cloud environments (AWS, Azure, GCP, Aliyun) and associated security telemetry. Strong understanding of network protocols, endpoint security, and common attack techniques.
- Hands-on experience with SOAR platforms and automation development.
- Prior exposure to purple team exercises and continuous validation methodologies.
- Familiarity with detection engineering in containerized or modern application environments (Kubernetes, serverless).
Compensation & benefits
Doing meaningful work should come with fair, transparent rewards. The base salary range for this role is EUR 61,200 - EUR 101,900. We determine pay within the range using objective factors, like the skills the role requires, your relevant experience and the responsibility you'll have in this role, alongside internal equity and local market considerations.
This role is eligible for 3% short term incentive with your rewards linked to both individual performance and company results. We’ll share the full approach with you during the interview process, so you can make a clear, informed decision. Benefits include hybrid working, paid time-off, health and wellbeing benefits, learning and development opportunities.
How we work togetherWe believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
This role is an office role.
About PhilipsWe are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
- Learn more about our business here.
- Discover our rich and exciting history here.
- Learn more about our purpose here.
If you're interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.
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Skills Required
- Bachelor’s degree in Cybersecurity, Computer Science, or a related field
- At least 2 years of experience in security architecture, network security, cybersecurity technology, information security, or equivalent
- Strong experience with SIEM platforms such as Splunk or Sentinel
- Proficiency in detection engineering, log parsing, and data normalization
- Working knowledge of artificial intelligence concepts and practical experience applying AI or machine learning in cybersecurity
- Familiarity with adversary simulation tools such as AttackIQ, Caldera, or commercial BAS platforms
- Knowledge of threat intelligence integration and MITRE ATT&CK
- Scripting ability in Python, PowerShell, or similar languages
- Experience with AWS, Azure, GCP, Aliyun, and associated security telemetry
- Strong understanding of network protocols, endpoint security, and common attack techniques
- Hands-on experience with SOAR platforms and automation development
- Prior exposure to purple team exercises and continuous validation methodologies
- Familiarity with detection engineering in Kubernetes, serverless, or other modern application environments
Philips Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Philips and has not been reviewed or approved by Philips.
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Retirement Support — Retirement support is positioned as a standout, including a strong 401(k) match (often described at 7%) alongside pensions in some contexts.
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Flexible Benefits — Flexible benefits are emphasized through choice in health insurance options and a broad “Total Rewards” approach that combines compensation, health and wellness, and work-life support.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous paid time off and policies covering parental leave, caregiving responsibilities, volunteering, and family medical leave.
Philips Insights
What We Do
As a leading health technology company, it is our purpose to improve people’s health and well-being through meaningful innovation. Our goal is to improve 2.5 billion lives per year by 2030. We're always looking for ways to make life better – not only for our customers, but also for everyone working here. That's why we're taking steps to create an environment where we all acknowledge and embrace our differences and uniqueness and listen to and value each other's views. When people feel cared for and listened to, they bring their best qualities to work, leading to better collaboration, communication, innovation and success.








