REA Group interview preparation.

Hands-on experience configuring and operating data flows, including log forwarding, data transformation, API integrations, cost-optimised ingestion and observability pipeline tools, with the ability to work with Platform and Cloud teams when existing integrations need changes.

Practical experience working in cloud environments (AWS, GCP or Azure), with an understanding of cloud and application architectures, logging, monitoring, native security controls and common failure modes, and how to translate these into detection and response requirements.

Practical experience defining the threats and behaviours to detect, and reviewing, tuning and validating high-fidelity detections through established detection-engineering practices and repository workflows.

Proficiency in log analysis, scripting and query languages to investigate security events and evaluate detection behaviour, with the ability to define requirements for, review and validate complex detection logic, including edge cases and performance considerations.

Strong knowledge of attacker techniques and kill-chain concepts (e.g.

Demonstrated experience leading the evolution of an established data, technology or developer platform

Experience working effectively with engineering, architecture, design, data and business stakeholders in an agile delivery environment

Experience in a Data Mesh-inspired operating model will be highly regarded