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Staff Detection and Response Engineer

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AlphaSense

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Location:
India

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The Staff Detection and Response Engineer is a critical technical role responsible for driving the organization's defensive security capabilities across detection engineering, security orchestration, automation, and response (SOAR), and co-leading the organization's threat hunting program. This role is crucial for integrating new threat intelligence into high-fidelity detections and automating incident response processes to maximize team efficiency and response speed.

Job Responsibility:

  • Design, implement, and maintain advanced detection rules and correlation logic across SIEM , EDR, and Cloud platforms (AWS, GCP)
  • Lead detection strategy and architecture aligned with the Detection Quality frameworks
  • Write high-fidelity detection rules using languages like SIGMA and YARA-L
  • Conduct deep log source analysis, perform threat modeling, adversary emulation, and maintain MITRE ATT&CK mapping coverage
  • Conduct detection gap analysis to identify coverage opportunities across the kill chain
  • Create and maintain detection playbooks, runbooks, and comprehensive documentation
  • Perform detection quality assessments and continuous improvement initiatives
  • Develop complex automated response playbooks for multi-stage incidents spanning multiple security tools
  • Integrate security tools via APIs (SIEM, EDR, MDM, CASB, ITSM, threat intelligence platforms)
  • Create automated enrichment pipelines incorporating threat intelligence, asset context, and user behavior analytics
  • Develop automated containment actions (account disable, host isolation, firewall rule updates)
  • Measure and report automation ROI, tracking metrics like time saved and incident handling efficiency
  • Handle Incident Response processes and procedures as needed
  • Co-lead the organization's threat hunting program with the SOC Manager, defining strategy, methodology, and campaign planning
  • Execute proactive threat hunting campaigns by conducting hunt queries across SIEM and EDR platforms
  • Analyze large datasets to identify anomalous behavior patterns including user behavior, process execution, network traffic, and cloud activity
  • Develop hunting automation and tooling using custom Python scripts, Jupyter Notebooks, Osquery, and Velociraptor
  • Collaborate with threat intelligence sources to incorporate latest TTPs into hunting campaigns

Requirements:

  • 7+ years in security operations with 3+ years in detection engineering, including deep expertise in creating high-fidelity rules (SIGMA, YARA-L, KQL, SPL)
  • Proven track record of building detection strategies across SIEM, EDR, and Cloud platforms, grounded in the MITRE ATT&CK framework
  • Expert knowledge of SOAR platforms (e.g., Tines, Splunk SOAR, Cortex XSOAR), architecture, and complex playbook development
  • Proven experience designing and implementing SOAR platform architecture from concept to production
  • Advanced scripting and automation development skills in Python (required) for API integrations and security tool orchestration
  • Strong background in threat hunting methodology, hypothesis development, and campaign execution, with experience leading or co-leading hunting programs
  • Proficiency with data analysis, anomaly detection, and hands-on experience with hunting tools like Jupyter Notebooks, Osquery, and Velociraptor
  • Deep understanding of attack techniques, lateral movement, persistence mechanisms, and post-exploitation TTPs across Windows, Linux, and macOS
  • Familiarity with security frameworks including MITRE ATT&CK, PICERL, NIST CSF, and Detection Maturity Models, and incident response best practices
  • Proven ability to lead technical initiatives, mentor team members, and communicate complex technical concepts to diverse audiences

Nice to have:

  • Experience with YARA-L
  • Deep familiarity with Detection Frameworks and detection engineering quality frameworks
  • Proven track record implementing SOAR platforms from architecture through operationalization, with experience evaluating multiple platforms
  • Advanced knowledge of CrowdStrike Falcon platform including custom IOA rules
  • Background in purple team activities, adversary emulation, or red teaming
  • Experience with CI/CD practices for detection-as-code and automation-as-code
  • Contributions to open-source security projects or security certifications (GCDA, GCIH, GCIA, GCFA, OSCP, or equivalent)
  • Knowledge of security data lakes (Snowflake, BigQuery) and experience with threat intelligence platforms (TIP)
  • Published research, blog posts, or conference presentations on detection engineering, automation, or threat hunting topics

Additional Information:

Job Posted:
February 03, 2026

Work Type:
Remote work
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