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Detection Engineer - Experience in Build, Fine-Tune and Deploy Detections Remote - CTC INR 50 L
Detection Engineer - Experience in Build, Fine-Tune and Deploy Detections Remote - CTC INR 50 LCareerXperts Consulting • ajit, India
Detection Engineer - Experience in Build, Fine-Tune and Deploy Detections Remote - CTC INR 50 L

Detection Engineer - Experience in Build, Fine-Tune and Deploy Detections Remote - CTC INR 50 L

CareerXperts Consulting • ajit, India
5 days ago
Job type
  • Remote
Job description

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.
  • Integrate AI and ML models for automated rule tuning, false positive reduction, and behavioral correlation.
  • Implement feedback-driven rule lifecycle management , including performance tracking (TP / FP / FN), version control, and graceful rule deprecation or promotion.
  • Collaborate with SOC, data science, and platform teams to continuously improve detection quality and automate enrichment or response actions via SOAR platforms.

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

Required Skills

  • 5+ years of experience in detection engineering, threat hunting, and SOC operations .
  • Expertise in at least two major SIEMs (Sentinel, Google SecOps / Chronicle, Splunk) and data-lake query environments (Snowflake / Databricks).
  • Strong command of Sigma, KQL, SPL, or Lucene , with the ability to abstract detection logic into environment-agnostic templates.
  • Experience with federated detection queries and data modeling for environments without long-term log storage.
  • Familiarity with AI / ML-driven prioritization for detection scoring, clustering, or environment-based tuning.
  • Ability to handle diverse telemetry : cloud (AWS / Azure / GCP), IAM, EDR, firewall, Windows event logs, network, and SaaS platforms.
  • Experience in GitOps / detection-as-code workflows with version control, testing, and deployment pipelines.
  • Excellent communication and documentation skills with a focus on translating technical detections into product-ready content.
  • Nice to Have

  • Experience building or contributing to detection optimization or coverage grading frameworks .
  • Scripting in Python or PowerShell for automation, enrichment, and testing.
  • Familiarity with SOAR integration , purple teaming frameworks , and automated response orchestration .
  • Background in AI / ML model feedback integration for detection scoring or prioritization.
  • Connect to me at for more details.

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