Sr. Detection Engineer - Logflow - Security Lake
Colossus Technologies Group
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About the role
Role Overview
Senior Detection Engineer for LogFlow (Security Lake) in the Detection Engineering / Security Data Platform team. You will design and build detections that run on top of large-scale security log pipelines, working directly with raw security telemetry and shaping how detection-ready data is ingested and normalized.
Responsibilities
- Design and build detections on top of large-scale security log pipelines
- Work with raw security telemetry (e.g., cloud logs, audit logs, infra logs, identity logs)
- Define normalization and enrichment logic to make detections reliable and portable
- Author and tune detection logic to balance signal quality vs. noise (false positives)
- Partner with ingestion and platform engineers to improve log quality at the source
- Help shape how the Security Lake stores, queries, and exposes data for detection use cases
Requirements
- 5+ years in detection engineering, security analytics, or security data engineering
- Hands-on experience writing detections on log-based security data
- Deep familiarity with security telemetry (cloud audit logs, identity logs, infra logs, EDR, network, etc.)
- Understanding of tradeoffs between normalized vs. raw logs
- Ability to handle messy/inconsistent data and make it detection-ready
- Reasoning about detections at scale (e.g., performance, cost, and false positives)
Nice to Have
- Experience with SIEMs, security lakes, or custom detection platforms
- Familiarity with log ingestion pipelines or log shippers/collectors
- Experience working close to data platforms / security data infrastructure
- Scripting/query experience (e.g., SQL-like languages, Python)
- Exposure to detection-as-code and version-controlled detection logic
About Colossus Technologies Group
Colossus Technologies Group builds security-first data and detection platforms focused on ingesting and processing large volumes of security telemetry. The team is creating a Security Lake (LogFlow) that normalizes log data in real time and enables high-fidelity detections for security analytics use cases.
Scraped 4/19/2026