India Template

Job Summary

Required Qualifications

• •You are fully expected to hire, build out, and directly manage a world-class, multi-disciplinary security engineering team at this location
• •A heavy, non-negotiable emphasis of this role is the aggressive implementation and orchestration of Artificial Intelligence (AI) to automate, optimize, and supercharge both our SecOps detection pipelines and Product Security guardrails globally
• •You will bridge the gap between application security and infrastructure defense, driving operational excellence, architectural innovation, and team expansion across several core pillars
• •Design, test, and deploy automated detection logic and incident playbooks powered by AI agents to dramatically reduce alert fatigue and speed up response times
• •Integrate AI into SIEM/SOAR data pipelines to identify anomalous behavior and emerging risks across large multi-cloud datasets
• •Implement automated code analysis and scanning (SAST/SCA) within CI/CD pipelines, leveraging AI-assisted remediation to give developers 'how-to-fix' guidance instantly
• •Build proprietary security automation ('guardrails') that empower software squads to build secure-by-design software at speed
• •Lead feature-level threat models for high-stakes software projects and actively harden cloud-native environments (AWS/GCP/Azure) and identity management systems
• •Act as the Directly Responsible Individual (DRI) for regional security initiatives, navigating technical hurdles early and making evidence-based decisions
• •Champion the 'Security Champions' program locally, conducting developer security workshops and fostering a high-trust, decentralized execution culture
• •Own the long-term hiring, mentoring, and performance strategy for the Bengaluru security hub, expanding our regional capabilities in lockstep with global organizational goals
• •Transition strategic security initiatives from 'build and operate' phases into stabilized, long-term regional ownership structures
• •Demonstrated, hands-on experience leveraging LLMs, AI agents, or machine learning models to automate security tasks, orchestrate response flows, or parse complex threat telemetry
• •Solid understanding of secure SDLC practices, vulnerability triage, and application scanners (SAST, DAST, SCA tools like CodeQL, OWASP ZAP)
• •Proven experience in threat hunting, incident response management under pressure, and writing detection rules-as-code within modern SIEM/SOAR systems
• •Strong script and tool development capabilities using Python, Go, or PowerShell, coupled with an automated DevOps mindset (CI/CD tools, Terraform, APIs)
• •Clear capability and ambition to step up, scale, and manage a team—including distinct verbal/written communication, stakeholder management, and a high degree of empathy for code creators
• •A continuous desire to learn and treat every single alert, incident, or system hurdle as a metric-driven data point to make global defenses stronger
• •10+ years of preferred technical skills or experience