What you'll do
- Developing Detection Logic: Crafting advanced queries, rules, and signatures for platforms like the SIEM to detect anomalous or malicious activity.
- Data Pipeline Management: Ensuring log sources are ingested, normalized, and enriched for maximum visibility, maintaining the integrity and performance of data pipelines.
- Automation and Scripting: Building tools and scripts to automate repetitive tasks, create custom detection mechanisms, and integrate platforms for streamlined workflows.
- Prototyping and Innovation: Experimenting with new technologies, techniques, and machine learning models to advance detection capabilities.
- Continuous Improvement: Iteratively refining detection logic based on attack simulations and post-incident reviews to address gaps and improve resilience.
- Threat Research and Intelligence: Staying updated on the latest threat actor tactics, techniques, and procedures (TTPs) and incorporating them into detection strategies.
- Incident Support: Collaborating with response teams during investigations by providing insights, creating custom queries, or adjusting detections in real time.
- Tool Development and Automation: Building scripts, dashboards, and playbooks to streamline and enhance detection and investigation processes.
What you'll bring with you
- Relevant engineering experience building and deploying solutions in a production environment on Google Cloud Platform (GCP)
- Experience with Python
- Experience with SOAR tools
- Understanding of Security Operations Centre (SOC)
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