Lead Engineer - SIEM & Detection Platforms
AstraZeneca (company site, opens in a new tab)5+ yrsChennaiOn-siteDirect career pageEst. 20–35 LPA
Posted 14h ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at AstraZeneca
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at AstraZeneca you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end detection engineering initiatives across SIEM, EDR, NDR, and cloud-native platforms focusing on threat coverage, detection algorithms, and validation.
- Own and optimize the organization’s detection content library aligned to adversary frameworks like MITRE ATT&CK, ensuring measurable threat coverage and reduced false positives.
- Drive platform tuning, performance optimization, and coordinate with global SOC, incident response, and threat intelligence teams to address detection gaps and integrate automation/innovation.
Minimum Requirements
- Bachelor's degree in information security, computer science, or related field, or equivalent experience.
- Minimum 5 years of experience in detection engineering, preferably within SOC or detection engineering teams.
- At least 3 years of scripting and automation experience (e.g., Python, PowerShell) for detection logic and detection-as-code practices.
- In-person work in Chennai office minimum 3 days per week; remote flexibility mentioned but office presence expected.
Ideal Candidate Profile
- Experienced in enterprise-scale detection engineering with deep knowledge of detection logic design, threat modeling, MITRE ATT&CK, and diverse detection platforms.
- Proven technical leadership with ability to define standards, innovate detection techniques including behavioral analytics and machine learning, and lead cross-functional global teams.
- Strong collaboration skills with incident responders, threat intelligence, offensive security (purple teams), and third-party vendors within complex matrixed organizations.