India Template

Cognite Cognite · Industrial · India · Engineering

This role is for a Principal Information Security Engineer in Bengaluru, India, focused on building and leading a security engineering team. A core responsibility is the aggressive implementation and orchestration of AI to automate and optimize SecOps detection pipelines and Product Security guardrails. The role involves designing AI-driven SecOps with agents for detection and response, and AI-accelerated Product Security with automated scanning and remediation guidance. It also includes threat modeling, hardening cloud environments, and technical leadership for team building and regional security initiatives.

What you'd actually do

  1. Design, test, and deploy automated detection logic and incident playbooks powered by AI agents to dramatically reduce alert fatigue and speed up response times.
  2. Implement automated code analysis and scanning (SAST/SCA) within CI/CD pipelines, leveraging AI-assisted remediation to give developers "how-to-fix" guidance instantly.
  3. Build proprietary security automation ("guardrails") that empower software squads to build secure-by-design software at speed.
  4. Lead feature-level threat models for high-stakes software projects and actively harden cloud-native environments (AWS/GCP/Azure) and identity management systems.
  5. Act as the Directly Responsible Individual (DRI) for regional security initiatives, navigating technical hurdles early and making evidence-based decisions.

Skills

Required

  • 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.

What the JD emphasized

  • aggressive implementation and orchestration of Artificial Intelligence (AI)
  • AI agents
  • AI-assisted remediation
  • Build proprietary security automation ("guardrails")
  • first security hire in Bengaluru
  • explicit, high-growth leadership trajectory
  • fully expected to hire, build out, and directly manage a world-class, multi-disciplinary security engineering team

Other signals

  • AI-driven SecOps
  • AI-accelerated Product Security
  • AI agents
  • LLMs
  • automation