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NetraDyne

AI-powered fleet safety dash cam analytics

Senior Security Analyst

Security Operations & Incident ResponseConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, IT, or Cybersecurity, or equivalent practical experience.
  • 5–8 years of experience in information security, including 3+ years in a SOC at L2 or L3.
  • Hands-on expertise with at least one enterprise SIEM such as Splunk, Wazuh, or QRadar, including writing queries and detection rules.
  • Strong experience with EDR/XDR platforms such as CrowdStrike Falcon or Microsoft Defender.
  • Solid understanding of AWS and Azure security logging and services, including CloudTrail, GuardDuty, Security Hub, Entra ID, and Defender for Cloud.
  • Working knowledge of identity attacks and controls, including SSO, federation, MFA, conditional access, and privileged access.
  • Proven incident-handling experience, including ransomware, phishing/BEC, account compromise, and cloud misconfiguration incidents.
  • Good grasp of networking, including TCP/IP, DNS, HTTP/S, VPN, firewalls, and proxies, and Windows, Linux, and macOS internals.
  • Practical use of MITRE ATT&CK, the cyber kill chain, and incident response frameworks such as NIST SP 800-61.
  • Scripting ability in Python, PowerShell, or Bash for automation and log analysis.
  • Clear written and verbal communication, including incident reports for technical and leadership audiences.
  • Work rotational shifts and on-call escalation duty, including occasional weekends during major incidents.

Responsibilities

  • Act as the L2/L3 escalation point for alerts across SIEM, EDR, identity, email, SaaS, and cloud security tools.
  • Perform deep-dive investigations by correlating logs, endpoint telemetry, network data, cloud audit trails, and threat intelligence.
  • Validate, enrich, and prioritize alerts using a risk-based approach, and reduce false positives at source.
  • Review and quality-check L1 triage decisions and AI-generated triage recommendations before closure.
  • Lead security incidents through detection, containment, eradication, recovery, and post-incident review.
  • Coordinate with Engineering, SRE, IT, Legal, and Privacy during incidents, and communicate status to SOC leadership.
  • Perform host and cloud forensics triage, functional-level malware analysis, and evidence preservation.
  • Write incident reports and root-cause analyses with concrete, tracked remediation actions.
  • Build, test, and tune detection rules and correlation logic mapped to MITRE ATT&CK.
  • Run hypothesis-driven threat hunts across cloud, endpoint, identity, and SaaS telemetry.
  • Track coverage gaps and propose new log sources, detections, and use cases.
  • Operationalize threat intelligence, including IOCs, TTPs, and advisories relevant to SaaS, cloud, and IoT environments.
  • Design and improve SOAR playbooks for enrichment, triage, and response.
  • Help define and validate AI agent workflows, confidence thresholds, guardrails, and human-approval gates for security operations.
  • Monitor AI security signals from the AISPM program, including shadow AI, unauthorized agents, unregistered MCP services, and data-leakage alerts.
  • Maintain runbooks, playbooks, escalation matrices, and SOPs.
  • Track and improve SOC metrics such as MTTD, MTTR, SLA adherence, and false-positive rate.
  • Mentor and coach L1 analysts, run shift handovers, and conduct knowledge-sharing sessions.
  • Provide evidence and support for ISO 27001, ISO/IEC 42001, and customer security audits.

Desired Qualifications

  • Certifications such as GCIH, GCIA, GCFA, CySA+, BTL1/BTL2, CEH, AWS Security – Specialty, AZ-500, or SC-200.
  • Experience building SOAR playbooks and integrating security tools through APIs.
  • Exposure to LLM-based or agentic security workflows, AI security risks such as prompt injection, data leakage, and model abuse, and AI governance.
  • Experience securing SaaS platforms, containers and Kubernetes, or IoT and edge devices.
  • Digital forensics and malware analysis skills beyond triage level.
  • Familiarity with ISO 27001, ISO/IEC 42001, SOC 2, or NIST CSF audit evidence.
  • Experience in a product or SaaS company with a global, 24x7 customer base.

About the Company

NetraDyne

AI-powered fleet safety dash cam analytics

NetraDyne provides AI-powered safety solutions for commercial fleets. Its main product is an AI-driven dash cam that analyzes driver behavior in real time, detects risky actions (like texting or drowsiness), and issues audio alerts to help drivers correct behavior. Beyond recording, it converts data into actionable insights for fleet managers, enabling remote monitoring, driver coaching through recommended videos, and rewards for safe driving. Revenue comes from selling the technology and a subscription-based software platform for proactive safety, traffic-violation detection, and performance analytics. The company differentiates itself by focusing on proactive, data-driven safety and coaching to prevent incidents, rather than merely recording events. Its goal is to reduce accidents and create safer, smarter roadways for commercial fleets.

Company size
1,001-5,000
Company stage
Series D
Total funding
$352.5M
Headquarters
San Diego, CA
Founded
2015

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