Security Engineer 4 - Bengaluru / Bangalore - confidential

    confidential
    confidential Bengaluru / Bangalore

    16 hours ago

    Full time ₹900,000 - ₹3,000,000 (INR) per year *
    Description

    Minimum Qualifications

    • 6+ years in security engineering, detection engineering, or cloud security with exposure to SaaS and API-based environments.
    • Strong expertise in anomaly detection, behavioural analytics, and applied data science concepts for cybersecurity.
    • Hands-on experience with SIEM, SOAR, and detection-as-code frameworks (e.g., Splunk, OpenSearch, KQL, Sigma).
    • Proficiency in threat hunting methodologies, adversary emulation, and detection in large-scale SaaS/cloud environments.
    • Familiarity with threat intelligence platforms (TIPs), enrichment pipelines, and ATT&CK-based intelligence mapping.
    • Good programming, automation, and data analytics skills.
    • Experience integrating detection pipelines into SaaS applications and microservices.

    Preferred Qualifications

    • Experience developing analytics pipelines, including AI/ML models for anomaly detection and risk scoring.
    • Exposure to SOC operations, detection content development, and adversary simulation.
    • Deep knowledge of threat intelligence tradecraft (e.g., ATT&CK, Sigma mappings, enrichment, correlation with detection rules).
    • Experience with automated detection tuning and false positive reduction.
    • Familiarity with cloud-native telemetry pipelines.
    • Security certifications: GIAC GCDA/GCFA, GCTI, GCP Security Engineer, AWS Security Specialty, OSCP.

    SaaS Detection Research & Engineering

    • Develop and refine detection frameworks for SaaS-specific threats (business logic abuse, API misuse, identity-based attacks).
    • Engineer detection-as-code pipelines leveraging Sigma, OpenSearch, and automation frameworks.
    • Incorporate AI/ML-driven anomaly detection techniques where applicable.
    • Continuously reskill and upskill in emerging detection technologies.

    Proactive Security Controls & Mitigations

    • Implement preventive and adaptive controls to identify SaaS threats before exploitation.
    • Use automation and analytics (including AI-enhanced methods) to accelerate response and reduce MTTD/MTTR.
    • Collaborate with detection and response teams to improve coverage and resilience.

    Threat Hunting & Intelligence Integration

    • Conduct advanced threat hunting across SaaS telemetry, using both traditional and AI-assisted approaches.
    • Leverage threat intelligence feeds and enrichment pipelines to drive prioritization.
    • Map detection coverage to MITRE ATT&CK and adversary playbooks.
    • Automate ingestion, normalization, and correlation of structured/unstructured TI data.

    Risk-Based Detection & Security Metrics

    • Build risk-based prioritization models, incorporating AI/ML where beneficial.
    • Provide executive reporting on detection performance, coverage, and efficiency.
    • Quantify detection efficacy by aligning outcomes with business risk and threat impact.

    Continuous Reskilling & Innovation

    • Lead reskilling initiatives within Detection Engineering, enabling the team to adopt new frameworks, AI/ML methods, and automation.
    • Collaborate with data science teams to explore AI-supported detection content generation and validation.
    • Foster a culture of continuous learning and applied innovation in DE, TH, and TI.


    * This salary range is an estimation made by beBee
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