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Mid-level generalist security role in Bangalore with broad AI and automation requirements, high applicant density.
Core cybersecurity and automation skills transfer across industries, but regulated-finance preference increases sensitivity.
Explicit 5–10 years requirement plus many mandatory security, automation, and domain skills makes filters strict.
Lead daily security operations including monitoring, incident response, vulnerability management, and compliance across enterprise systems.
Establish and enforce practical AI security controls for Generative AI, LLMs, AI agents, and automation to enable secure AI adoption while protecting sensitive and regulated data.
Develop and implement security automation including AI-embedded agents/bots to improve response efficiency and mitigate risks such as data loss and phishing.
Bachelor's or Master's degree in Computer Science, Cybersecurity, Information Security, Engineering, or related discipline.
5–10 years of experience in cybersecurity engineering, security operations, or related fields with broad security domain exposure.
Hands-on expertise with SIEM, EDR/XDR, IAM, DLP, vulnerability management, incident investigation, risk management, and compliance support.
Experience with AI agent development, Python, PowerShell, REST APIs, SOAR, workflow automation, and exposure to AI security/governance (Generative AI, LLMs). Location: Bangalore or Chennai (Onsite/Hybrid).
Demonstrated ability to integrate AI security governance within regulated or highly secure environments such as financial services or fintech.
Proven skills automating security operations with scripting and AI tools to enhance incident response and vulnerability remediation.
Experience coordinating cross-functional teams (Engineering, DevOps, Risk, Compliance) to implement security controls across cloud, data, application, and AI systems.