Experience: 4-8 Years
Location: Hyderabad, India (On-site)

Job Summary:
We are seeking a SOC professional focused on building, tuning, and operating detection
and alerting capabilities across cloud, identity, endpoint, and network environments. This
role is responsible for converting telemetry into actionable alerts, reducing false positives,
and ensuring high-fidelity detections aligned with real-world threats.
Key Responsibilities:
Design, build, and maintain detection rules across SIEM, EDR, cloud-native, and
identity platforms
Develop use-case–driven alerts mapped to the MITRE ATT&CK framework
Tune alerts to reduce false positives while maintaining detection coverage
Create correlation rules across Identity (EIAM/CIAM), Cloud, Network, and
Endpoint logs
Validate detections using attack simulations, threat intelligence, and red/purple team
inputs

SOC Operations Support
Monitor and triage security alerts with emphasis on signal quality
Perform alert investigations and determine escalation paths
Improve detection logic based on incident learnings
Maintain alert documentation, severity models, and response playbooks

Threat & Log Intelligence
Integrate threat intelligence feeds into detection logic
Identify logging gaps and onboard missing telemetry
Analyze attacker TTPs and convert them into proactive detections
Automation & Optimization
Automate alert enrichment and triage using SOAR or scripting
Build dashboards and KPIs for detection coverage and SOC effectiveness
Measure detection performance (MTTD, false-positive rate, alert fidelity) Required Skills & Experience
Hands-on experience with SIEM platforms (Elastic, Splunk, Sentinel, QRadar)
Strong understanding of detection rule creation and tuning
Solid knowledge of MITRE ATT&CK
Experience analyzing identity, cloud, endpoint, network, and application logs
Scripting knowledge (Python, KQL, SPL, Lucene, SQL-like languages)

Nice to Have
Detection engineering or threat hunting background
Experience with red team or purple team exercises
Knowledge of Zero Trust and identity-first security models
Experience reducing SOC alert fatigue at scale

What Success Looks Like
High-confidence alerts with minimal noise
Clear visibility into attacker behavior across identity, cloud, and endpoints
Faster detection and response times
Alerts that are actionable, explainable, and risk-aligned

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