Security Engineer 4
Security Engineer 4
Posted on :
27-09-2025
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1 Vacancy
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Job Description
Description
Responsibilities
Qualifications
Minimum Qualifications
- 6 years in security engineering detection engineering or cloud security with exposure to SaaS and API-based environments.
- Strong expertise in anomaly detection behavioural analytics and applied data science concepts for cybersecurity.
- Hands-on experience with SIEM SOAR and detection-as-code frameworks (e.g. Splunk OpenSearch KQL Sigma).
- Proficiency in threat hunting methodologies adversary emulation and detection in large-scale SaaS/cloud environments.
- Familiarity with threat intelligence platforms (TIPs) enrichment pipelines and ATT&CK-based intelligence mapping.
- Good programming automation and data analytics skills.
- Experience integrating detection pipelines into SaaS applications and microservices.
Preferred Qualifications
- Experience developing analytics pipelines including AI/ML models for anomaly detection and risk scoring.
- Exposure to SOC operations detection content development and adversary simulation.
- Deep knowledge of threat intelligence tradecraft (e.g. ATT&CK Sigma mappings enrichment correlation with detection rules).
- Experience with automated detection tuning and false positive reduction.
- Familiarity with cloud-native telemetry pipelines.
- Security certifications: GIAC GCDA/GCFA GCTI GCP Security Engineer AWS Security Specialty OSCP.
Responsibilities
1. SaaS Detection Research & Engineering
- Develop and refine detection frameworks for SaaS-specific threats (business logic abuse API misuse identity-based attacks).
- Engineer detection-as-code pipelines leveraging Sigma OpenSearch and automation frameworks.
- Incorporate AI/ML-driven anomaly detection techniques where applicable.
- Continuously reskill and upskill in emerging detection technologies.
2. Proactive Security Controls & Mitigations
- Implement preventive and adaptive controls to identify SaaS threats before exploitation.
- Use automation and analytics (including AI-enhanced methods) to accelerate response and reduce MTTD/MTTR.
- Collaborate with detection and response teams to improve coverage and resilience.
3. Threat Hunting & Intelligence Integration
- Conduct advanced threat hunting across SaaS telemetry using both traditional and AI-assisted approaches.
- Leverage threat intelligence feeds and enrichment pipelines to drive prioritization.
- Map detection coverage to MITRE ATT&CK and adversary playbooks.
- Automate ingestion normalization and correlation of structured/unstructured TI data.
4. Risk-Based Detection & Security Metrics
- Build risk-based prioritization models incorporating AI/ML where beneficial.
- Provide executive reporting on detection performance coverage and efficiency.
- Quantify detection efficacy by aligning outcomes with business risk and threat impact.
5. Continuous Reskilling & Innovation
- Lead reskilling initiatives within Detection Engineering enabling the team to adopt new frameworks AI/ML methods and automation.
- Collaborate with data science teams to explore AI-supported detection content generation and validation.
- Foster a culture of continuous learning and applied innovation in DE TH and TI.
Qualifications
Career Level - IC4
Employment Type
Full-Time
Key Skills
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