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MEEZA QSTP

تفاصيل الوظيفة

Functional Responsibilities:Data Ingestion and Normalization Pipeline Management: Architect and maintain the ingestion of telemetry from multi-cloud (GCP, AWS, Azure) and on-premises environments using Bind Plane Forwarders, Cloud-to-Cloud (C2C) connectors, and Webhooks. Parser Development: Design, build, and troubleshoot custom parsers (CBN) to ensure non-standard log sources are correctly normalized into the Unified Data Model (UDM). Data Health Monitoring: Build dashboards to monitor ingestion rates, latency, and data drops to ensure the SIEM is always receiving high-quality, actionable data.
SOAR & Automation Engineering Playbook Development: Design and code automated incident response playbooks in Sentinel SOAR using Python and visual builders. Connector Engineering: Build and maintain API integrations between Sentinel SOAR and third-party tools (Firewalls, EDR, IAM, Ticketing systems). Workflow Optimization: Automate repetitive manual tasks such as artifact enrichment, evidence gathering, and initial containment actions. Case Management Configuration: Tailoring the SOAR environment to fit the SOC’s operational needs, including custom fields, stages, and SLA tracking.
Platform Administration and Optimization System Health Monitoring: Monitoring the ingestion health to ensure no data is dropped and that latency stays within acceptable limits. Access Control: Managing Role-Based Access Control (RBAC) to ensure analysts have the correct level of access to sensitive data. Threat Intel Ingestion: Managing the integration of Mandiant, Virus Total, and other third-party threat intelligence feeds to ensure detections are always up to date with the latest global threats.
Collaboration with SOC Team Feedback Loops: Collaborating with Tier 1 and Tier 2 analysts to tune YARA-L rules based on real-world alert performance and "noise" levels. Requirements Gathering: Interviewing incident responders to understand their manual workflows, then translating those into Sentinel SOAR playbooks. Training & Enablement: Conducting knowledge transfer sessions on how to use UDM Search and the MS Sentinel interface to speed up investigations. Alignment with Infrastructure Team Data Ingestion Strategy: Working with GCP/AWS/Azure Architects to ensure that Cloud Logging and Pub/Sub are configured correctly for seamless export to Google Sec Ops platform. Agent Deployment: Coordinating with IT Infrastructure teams to deploy and maintain Bind Plane Forwarders on on-premises servers and virtual machines. Troubleshooting: Collaborating with Network Engineers to resolve connectivity issues or firewall blocks that prevent telemetry from reaching the Google Sec Ops platform. Knowledge, Skills & Experience Academic & Professional Qualifications:Bachelor’s degree in computer science, IT, Cybersecurity, or equivalent. SIEM Certification ( Azure Sentinel). Preferred:Security certifications such as Security+, CySA+, CEH, CISSP, GCIHSentinel Engineer
Experience:3–5 years of hands-on experience in Security Engineering, SOC Automation, Dev Ops Engineer, Security Operations, or Infrastructure Security. Skills and Requirements:Technical Skills (Must Have) SIEM/SOAR Mastery: Proven experience architecting and managing enterprise-grade platforms (e.g., Splunk, Azure Sentinel, or QRadar), with at least 1–2 years specifically focused on Google Sec Ops (Chronicle). Key Requirement: Required skills: Google Sec Ops. Coding & Scripting: Professional experience using Python to automate security workflows or build custom API connectors. Cloud Infrastructure: Hands-on experience managing security within Google Cloud Platform (GCP), including VPC service controls, IAM, and Cloud Logging. Languages: Python (Advanced), SQL (Big Query), YARA/YARA-L, and Bash. Frameworks: MITRE ATT&CK, NIST Cybersecurity Framework. Tools: Git (Version Control), Terraform (Infrastructure as Code), Docker/Kubernetes (Containerization). Data Standards: Deep knowledge of JSON, Protobuf, and Regex for log parsing and normalization. Soft Skills Strong analytical thinking and problem-solving capability. Excellent communication skills, able to explain technical findings to non-technical stakeholders. Ability to work independently, manage multiple priorities, and meet deadlines. Attention to detail and a structured, documentation-driven mindset.

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