1. Microsoft Sentinel SOAR Development (40%)
2. UEBA & Analytics Engineering (30%)
Develops custom UEBA detection rules , anomaly models, ML-based behavior patterns, and advanced hunting queries (KQL).
Builds and maintains analytics content, data parsers, normalization rules, and entity behavior profiles.
Evaluates behavioral anomalies and collaborates with cybersecurity teams to fine-tune detection logic.
3. SIEM Content Development & Platform Engineering (15%)
Designs and implements custom data connectors, ingestion pipelines, and data transformation logic.
Creates dashboards, workbooks, hunting queries, and detection-as-code assets.
Performs platform tuning to improve performance, reduce noise, and align to MITRE ATT&CK and Zero Trust principles.
4. Application Development & Integration (10%)
Develops supporting code modules, scripts, microservices, and helper APIs using Python, PowerShell, .NET, or similar languages.
Works with DevOps pipelines, CI/CD processes, version control, and infrastructure-as-code where applicable.
5. Documentation, Collaboration & Support (5%)
Writes technical design documents, SOPs, architecture diagrams, and automation runbooks.
Collaborates with DSHS, HHSC CISO Office, and cross-functional stakeholders on requirements, testing, and deployment.
Provides Tier III support for Sentinel engineering issues and participates in after-action reviews when needed.
Knowledge, Skills, and Abilities (KSAs)
Knowledge of:
Microsoft Sentinel architecture, SOAR, and UEBA capabilities.
Azure cloud services, Logic Apps, Azure Functions, Event Hubs, Key Vault, and Azure AD.
Security operations processes (triage, threat detection, incident response, threat modeling).
MITRE ATT&CK, NIST CSF, Zero Trust Architecture concepts.
Programming and scripting languages (Python, PowerShell, KQL, C#, JavaScript, or equivalent).
CI/CD pipelines, DevOps practices, and Git-based version control.
API integrations and JSON/YAML structures.
Skills in:
Building Logic App workflows and custom Sentinel automation playbooks.
Writing complex KQL queries for analytics, hunting, and behavioral detection.
Developing custom connectors, data maps, and parsers.
Designing and optimizing UEBA detection models.
Debugging SOAR workflows and resolving integration issues.
Communicating technical information clearly to both technical and non-technical audiences.
Abilities to:
Work independently and take ownership of complex development tasks.
Translate security requirements into scalable technical solutions.
Analyze threat behaviors and develop meaningful detections.
Work collaboratively with cybersecurity, infrastructure, and application teams.
Manage multiple work assignments and meet deadlines.
CANDIDATE SKILLS AND QUALIFICATIONS
4Years-Required-Graduation from an accredited four-year college or university with major coursework in computer science, computer information systems, software engineering, cybersecurity, or a reated field.
2 Years -Required-Two (2) years of full-time experience in software development, cloud engineering, SIEM engineering, or cybersecurity engineering.
2 Years -Required-Two (2) years of full-time experience in software development, cloud engineering, SIEM engineering, or cybersecurity engineering.
3 Years -Preferred-Three (3) or more years of hands-on technical experience with Microsoft Sentinel.
1 Years -Preferred-Experience developing UEBA models, anomaly detection rules, and behavior-based analytics.
1 Years -Preferred-Experience building Security Automation Playbooks (SOAR).
1 Years -Preferred-Microsoft certifications such as: SC-200: Security Operations Analyst, AZ-900 / AZ-104, SC-100 / SC-300
1 Years -Preferred-Experience integrating Sentinel with EDR, IAM, firewalls, and ticketing systems.
1 Years -Preferred-Experience with DevOps pipelines (GitHub, Azure DevOps).
1 Years -Preferred-Experience working in a government, healthcare, or regulatory environment.
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