Sr. AI SIEM Engineer
Company Description Job Description
What you'll bring
You're a senior security engineer with expert-level Microsoft Sentinel skills, a strong background in Infrastructure as Code, and deep experience in security telemetry engineering.
- Hands-on Microsoft Sentinel and enterprise SIEM engineering experience, including deployment, administration, monitoring, incident management, detection engineering, and advanced KQL
- Strong Infrastructure as Code and CI/CD expertise using Terraform, Bicep/ARM, Git, and Azure DevOps/GitHub/Jenkins to deliver secure, version-controlled Sentinel and Azure environments
- Experience in automation and AI engineering, with proficiency in Python and TypeScript/Node.js or Go, and hands-on experience developing AI solutions, MCP integrations, API-driven automation, and process optimisation
- Proven experience designing and operating Cribl Stream or Edge pipelines for large-scale security telemetry
- Degree not required for this role.
- Relevant certifications are an advantage — Microsoft SC-200 (Security Operations Analyst), AZ-500 (Azure Security Engineer), AZ-104, or Cribl Certified Admin.
We also look for people who build trust naturally, communicate with clarity, keep the customer at the centre of what they do, and bring emotional intelligence and genuine problem-solving ability to the challenges they face.
In addition to the skills and experience needed for this role, all positions at SAP require candidates to be comfortable using AI tools. This includes using agentic AI for daily tasks such as creating effective inputs, automating routine tasks, and judging the quality of AI-generated outputs. Candidates should also promote the use of AI practices within their teams.
What you'll build
You will own Sentinel platform engineering end-to-end and lead the design of SAP's enterprise SIEM, data pipeline, and AI integration ecosystem.
- Engineer and optimise Microsoft Sentinel and Log Analytics workspace...
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