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Cybersecurity Detection Engineer – SIEM & Targeted Adversary Emulation

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Urgent

Hybrid

Cybersecurity Detection Engineer – SIEM & Targeted Adversary Emulation

RiskCon Advisory

Cybersecurity Detection Engineer – SIEM & Targeted Adversary Emulation

Skills

PythonPowerShellMicrosoft Sentinel (SIEM)

16 days ago

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Important information


Contract type:

Freelance

Salary / Daily rate:

670

This job is at 0% commission 🎉

Location:

Paris, France

Starting date:

Urgent

Work mode:

Hybrid

Published on:

5 March 2026

What they need


For a Big Four firm, we are looking for a Cybersecurity Detection Engineer to join a high-performing security team and strengthen advanced threat detection capabilities within a complex enterprise environment.

Role Overview

We are looking for a Cybersecurity Detection Engineer to strengthen an advanced detection capability within a mature security environment.
Your primary mission is clear: when an adversary moves, we see it.
You will spend most of your time inside the SIEM, engineering high-fidelity detections based on a deep understanding of offensive tradecraft.

Primary Focus: Detection Engineering

Advanced Detection Logic

Design and develop complex detection rules using KQL
Detect sophisticated behaviors such as:
Token manipulation
Command-and-control (C2) jitter
Advanced post-exploitation techniques
Move beyond simple IOC-based detection toward behavior-driven analytics

Telemetry Deep Dive

Perform in-depth analysis of raw logs from:
EDR platforms
Identity Providers
Cloud infrastructure
Identify visibility gaps
Define and implement appropriate logging policies to ensure proper coverage

False Positive Reduction

Apply strong understanding of normal vs malicious administrative behavior
Tune and optimize existing detection rules
Improve signal-to-noise ratio to prevent SOC alert fatigue

Secondary Focus: Targeted Adversary Emulation

In this role, offensive activity serves a defensive purpose.

Detection Validation

Execute specific, manual attack sequences to validate newly created detection rules
Ensure expected alerts are triggered
Immediately adjust and improve detection logic when gaps are identified

Gap Analysis

Simulate techniques mapped to MITRE ATT&CK
Identify blind spots in current detection coverage
Rapidly transition from identifying gaps to engineering solutions

Key Responsibilities

Translate complex threat intelligence and known Red Team techniques into actionable detection logic (KQL)
Review and optimize the existing detection rule library for both accuracy and coverage
Collaborate closely with the Incident Response team to:
Understand why previous attacks were missed
Engineer rules that prevent recurrence

Profile

Strong experience in Detection Engineering
Advanced proficiency in KQL
Deep understanding of modern offensive TTPs and the MITRE ATT&CK framework
Experience analyzing EDR, Identity, and Cloud telemetry
Ability to think behaviorally rather than rely solely on static indicators
Red Team or adversary emulation experience is a strong plus

Mission Objective

Build and continuously improve a behavior-driven detection capability that is validated through controlled adversary simulation and optimized to deliver high-confidence alerts to the SOC.
This role is suited for a senior professional who can operate comfortably between defensive engineering and offensive simulation with strong analytical rigor.

Expérience : 4 years
Sector : Assurance
Specific tools to be familiar with Python, PowerShell, C/C++, Active Directory, Microsoft Sentinel (SIEM)
Languages : Français, Anglais
Project Start Date : ASAP

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