Security Infrastructure Engineer - Sentinel

The primary responsibilities of the 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

Qualifications

• Bachelor s degree in computer science, IT, Cybersecurity, or equivalent
• SIEM Certification (Azure Sentinel)
• Preferred: Security certifications such as Security+, CySA+, CEH, CISSP, GCIH Sentinel Engineer

Experience

3 5 years of hands-on experience in Security Engineering, SOC Automation, DevOps Engineer, Security Operations, or Infrastructure Security. Skills and

Requirements

• 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