Lead Detection Engineering Specialist

We’re seeking a Senior Detection Engineer to lead the next evolution of AI-augmented threat detection.

This role goes beyond traditional detection engineering : you’ll help improve and build our Detection Engineering Agent , responsible for continuously grading and improving detection coverage based on a customer’s available telemetry, configuration, and behavioral baselines.

You’ll work across multi-cloud , hybrid , and data-lake environments to design modular detections that don’t depend on centralized data storage, but instead leverage federated queries, metadata scoring, and AI-based prioritization.

The ideal candidate combines deep hands-on SIEM expertise with a product mindset : able to design scalable detection pipelines, integrate AI feedback, and quantify detection efficacy at enterprise scale.

Key Responsibilities

• Design and maintain modular, high-fidelity detections using Sigma, KQL, SPL, Lucene, and other rule / query languages for Sentinel, Splunk, Chronicle, Elastic, and data-lake environments (Snowflake, BigQuery, Databricks).
• Build and evolve Detection Engineering Agent , enabling real-time tracking, grading, and ranking of a customer’s environment based on data coverage, signal quality, and rule performance.
• Develop detections that operate without centralized storage , leveraging federated queries, streaming analytics, and metadata summarization instead of raw data ingestion.
• Quantify coverage gaps across identity, endpoint, cloud, network, and SaaS telemetry;

collaborate cross-functionally to enhance observability and threat visibility.

Manage detection-as-code pipelines , ensuring CI / CD integration, modular content reuse, and full traceability of changes.

Required Skills

Nice to Have

Connect to me at rajeshwari.vh@careerxperts.com for more details.