Security Infrastructure Engineer - Sentinel

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 SecOps 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 SecOps 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, DevOps 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 SecOps (Chronicle).Key Requirement: Required skills: Google SecOps.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 (BigQuery), 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.