SOC - Detection Engineer

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide unique RD and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days arethe same.

Your Profile

• 6+ years of experience in Detection Engineering, Threat Hunting, and Security Analytics with demonstrated ownership of the end-to-end detection lifecycle, content validation, and cross-domain threat detection capabilities.
• Strong expertise in Microsoft Sentinel, Microsoft Defender XDR, Azure Data Explorer (ADX), KQL, Python, PowerShell, and detection engineering best practices, including analytics development, tuning, testing, and operationalization of security content.
• Hands-on experience with CI/CD, Git, Infrastructure-as-Code (IaC), Detection-as-Code, testing automation, content repositories, platform integrations, peer review processes, and detection release management within SOC environments.
• Experience working with Azure Data Explorer, Databricks, Jupyter/iPython Notebooks, MSTICPy, security data science, statistical/ML analytics, and data engineering concepts to develop and operationalize advanced hunting, anomaly detection, and behavioral analytics use cases.
• Proven experience with attack emulation and detection validation frameworks such as Atomic Red Team, Caldera, Prelude, AttackIQ, Sigma, YARA/YARA-L, as well as fraud, identity, cloud, SaaS, OT, data leakage, and network anomaly detection use cases.

What you will love working in Capgemini

• Design, develop, and continuously enhance detection use cases, analytics rules, correlation logic, anomaly detection models, threat hunting queries, dashboards, and watchlists using Microsoft Sentinel, Microsoft Defender XDR, and related security platforms.
• Create, validate, tune, and maintain detection logic using KQL, Python, PowerShell, and detection-as-code methodologies while reducing false positives and improving overall detection effectiveness.
• Clear career progression paths from engineering roles to architecture and consulting.
• Be part of mission-critical projects that ensure security, compliance, and operational efficiency for Fortune 500 clients.