Design, develop, and maintain detection rules, alerts, and analytics to identify cybersecurity threats across endpoints, network, identity, cloud, and application platforms
Collaborate with threat intelligence, threat hunting, and security operations teams to understand emerging threats and translate TTPs into actionable detections
Continuously monitor the threat landscape and proactively recommend improvements to detection coverage and methodology
Validate, test, and tune detection content to reduce false positives and improve accuracy, performance, and signal-to-noise ratio
Partner with incident response teams to provide detection insights, improve alert fidelity, and support investigation workflows
Maintain and enhance the organization’s detection repository within SIEM and detection platforms, ensuring content stays current with evolving attack techniques
Develop and refine Data Loss Prevention (DLP) detection policies and monitoring use cases to protect sensitive data and support compliance requirements
Identify detection gaps and raise risks, working with engineering and security stakeholders to prioritize remediation and improvements
Stay current on cybersecurity tools, frameworks, and adversary techniques to continuously evolve detection engineering practices
Contribute technical guidance and peer mentorship, helping uplift detection quality and engineering standards across the team
Requirements
Bachelor's degree in computer science, Information Security, or a related field (or equivalent practical experience)
4–8+ years of experience in cybersecurity with a strong focus on detection engineering, threat hunting, SOC operations, or incident response
Experience working with or alongside Red Team/Purple Team activities
Strong knowledge of SIEM platforms, log pipelines, and detection engineering workflows
Proficiency in scripting or programming languages such as Python, PowerShell, or Bash
Familiarity with adversary tactics, techniques, and procedures (TTPs), MITRE ATT&CK, and detection engineering frameworks
Experience with cloud environments and cloud-native attack/detection strategies (e.g., AWS, Azure, GCP)
Strong analytical and problem-solving skills with a creative approach to detection design
Excellent collaboration and communication skills with the ability to work cross-functionally with security and engineering teams
Relevant certifications (e.g., GCDA, GCFA, GCFR, GCIH, GREM, OSCP, CISSP) are a plus but not required
Experience with Version Control Systems (VCS) (GitHub)
Experience working with SIGMA, YARA, and detection query language structures
Tech Stack
AWS
Azure
Cloud
Cyber Security
Google Cloud Platform
Python
Benefits
Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development opportunities
Senior Security Detection Engineer at Mondelēz International | JobVerse