Detection Engineer
Philips
Detection Engineer
Samenvatting
Wat krijg je?
Wat ga je doen?
- Develop and maintain SIEM detection rules
- Perform breach and attack simulations
- Map logic to MITRE ATT&CK frameworks
- Integrate threat intelligence into workflows
- Tune detection logic for higher fidelity
Wat verwachten wij?
- Bachelor degree in Cybersecurity or Computer Science
- Two years experience in Information Security roles
- Strong experience with SIEM platforms like Splunk
- Proficient in detection engineering and log parsing
Volledige vacaturetekst
The Detection Engineer is a member of the Cyber Defense Capabilities team, responsible for designing and validating detection capabilities for CSIRT. You will execute breach simulations and automate workflows via SOAR playbooks to reduce detection times. While tackling these technical challenges, you can enjoy hybrid working and specialized health and wellbeing benefits. Ready to outsmart adversaries and elevate global cyber defense? Dive into the details.
Detection Engineer
Job Description
Thedetection engineeris a member of the Cyber Defense Capabilities team andis responsiblefordesigning, implementing, and continuously validating detection capabilitiesforCSIRT. This includes building high-fidelity detection logic, regression testing to ensure detectionsremaineffective over time, and executing breach and attack simulations (BAS) to align detection coverage with evolving adversary techniques and threat intelligence.
Thedetection engineerworks 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 isEUR 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 for3% 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 includehybrid 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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