Senior Detection Engineer - Cyber Security Startup - Remote

5 years

0 Lacs

Posted:12 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Senior Detection Engineer

Detection Engineering Agent

multi-cloud

deep hands-on SIEM expertise


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


    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 rajeshwari.vh@careerxperts.com for more details.

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