Senior SOC Analyst (AI Analyst & Automation Eng...

@ Freshworks

Company Overview

At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. With our enterprise-grade solutions, we power over 72,000 companies globally and support over 4,500 employees worldwide.

Job Description

The Senior SOC Analyst role is a hybrid position combining cybersecurity operations with AI engineering. It focuses on developing, customizing, and operationalizing AI-powered SOC automation systems.

SOC & Threat Detection Responsibilities

• Monitor and triage security alerts using AI-assisted tools.
• Analyze and investigate incidents using threat intel and log data.
• Provide threat context, root cause analysis, and recommendations.
• Fine-tune detection rules and IOC correlations.
• Act as a subject matter expert for SOC use cases and automation requirements.

AI Engineering & Automation

• Design and maintain ML models for anomaly detection and classification.
• Create automation workflows using SOAR platforms like Cortex XSOAR.
• Integrate AI models with SIEM, EDR, TIP, and other data sources.
• Develop feedback loops using SOC analyst input and incident data.
• Reduce false positives/negatives via intelligent alert enrichment.

Collaboration & Strategy

• Collaborate with threat intel and incident response teams.
• Drive innovation in SOC tooling through automation and AI.
• Maintain documentation, model explainability, and audit readiness.
• Stay ahead of adversarial threats and AI misuse in cyber contexts.

Qualifications

Must-Have: Over 3 years in SOC Analyst, Incident Responder, or Threat Hunter roles; 2+ years in AI/ML for cybersecurity; proficient in Python and ML libraries like Scikit-learn, PyTorch, TensorFlow; experience with SIEMs (Splunk, Sentinel, QRadar), SOARs (XSOAR, TheHive), and EDRs (CrowdStrike, Defender); strong understanding of MITRE ATT&CK and threat detection; familiarity with APIs, REST, and JSON integration.

Nice-to-Have: Experience with malware classification, threat intel enrichment, sandbox analysis; knowledge of adversarial ML, model hardening, explainable AI; experience with cloud-native security monitoring and MLOps.

Key skills/competency

Senior SOC Analyst, cybersecurity, AI engineering, automation, threat detection, SIEM, SOAR, ML, Python, incident response.