Security Monitoring Expert (m/f/d) ID27155-2
Duration: 21.09.2026 – 31.03.2027
Volumen: 40h/week
Location: remote
Please submit your profiles in
English!
Project
description: “Defending the Castle” is the short-term and immediate phase of our
customers AI threat resilience response. The purpose is to buy time by
increasing detection, response, containment and recovery readiness while a
broader Phase 2 plan is prepared for the rest of the Business IT units.
Task
description:
- Conceptual development and structured
implementation of the short-term security monitoring strategy for “Defending
the Castle”, focused on detecting AI-augmented threats across hybrid Azure and
on-premise environments.
- Translation of frontier-model driven threat
scenarios into actionable detection logic, monitoring requirements, telemetry
gaps, alerting rules and escalation criteria.
- Provision of technical consultation and
recommendations to SOC, Cyber Defense Center, incident response, threat
intelligence, cloud, identity, endpoint and platform teams to improve detection
coverage at machine-speed threat tempo.
- Definition and validation of monitoring use
cases for lateral movement, privilege escalation, identity abuse, cloud
control-plane abuse, data staging, exfiltration and persistence across Azure
zones and on-premise networks.
- Production of playbooks, SOPs and tuning
guidance that allow monitoring teams to detect, triage and escalate AI-assisted
attacks with reduced ambiguity and consistent quality.
- Establishment and technical definition of
measurable detection coverage, alert quality and response-readiness metrics to
support Q1 2027 completion and readiness for Phase 2.
- Creation of immediate visibility into the
most likely AI-accelerated attack paths affecting identity, cloud, endpoint,
network and privileged access layers.
- Optimization and technical evaluation of
telemetry, correlation, enrichment, and alert prioritization for detection
efficiency.
- Provision of practical runbooks for SOC and
monitoring teams that can be executed under pressure without relying on
individual tribal knowledge.
- Conceptual strengthening and technical
enhancement of early-warning capability before a broader business IT resilience
programme is launched.
Quality
- Technical peer review of detection logic
across SOC, incident response and platform functions.
- Execution and technical documentation of
Purple-team exercises and tabletop scenarios, including simulated alert
generation and escalation testing.
- Compilation of an evidence pack containing
detection catalog, data-source matrix, runbooks, tuning history and open risk
register.
- Preparation of documentation to facilitate
operational sign-off from SOC lead, Cyber Defense lead and relevant
Azure/on-prem service owners.
- Identification and technical gap analysis of
existing processes (too slow, fragmented, undocumented or dependent on informal
knowledge) to document optimization potential.
- Transformation of risk evaluations into
executable playbooks, technical control frameworks, test protocols, backlog
items and management evidence.
- Provision of a structured handover of a
Phase 2 backlog and recommendations for the broader Business IT resilience plan
after Q1 2027.
- Creation of comprehensive documentation with
all results regarding the above-mentioned tasks with subsequent handover to
Uniper for review and approval for further usage.
Skills:
Please
submit profiles in english for the Security Monitoring Expert.
• Minimum 8 years in cyber defense operations,
SOC engineering, detection engineering, threat hunting or security monitoring.
•
Strong expertise in SIEM, XDR, EDR, Microsoft Sentinel or equivalent platforms,
KQL/SPL-style query languages and cloud/security telemetry.
•
Good understanding of Azure security monitoring, Entra ID, hybrid identity,
endpoint telemetry, network logs, MITRE ATT&CK and attack-chain analysis.
•
Experience creating operational runbooks, alert tuning processes and SOC
quality metrics.
•
Relevant certifications such as GCIA, GCIH, GCDA, SC-200, AZ-500, CISSP or
equivalent are beneficial.
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