Director of Security Operations at Simpplr overseeing cloud infrastructure and AI security. Collaborating with teams to enhance security operations and tackle emerging AI threats.
Responsibilities
Define Simpplr’s product security and security operations strategy and implements plans to execute on them.
Lead daily security operations across cloud infrastructure and application layers, including vulnerability management, threat monitoring, and incident triage.
Manage the lifecycle of externally reported security vulnerabilities, ensuring timely triage, tracking, and remediation.
Monitor, investigate, and respond to security alerts and suspicious behavior, with a focus on both infrastructure and product layers.
Support the security posture of AI features, including model threat assessments, abuse detection, and secure prompt handling.
Partner with engineering teams to embed security controls into the development lifecycle, with special attention to AI features and data pipelines.
Participate in internal security reviews, including the testing and hardening of AI and SaaS components.
Coordinate and manage security tickets, playbooks, runbooks, and workflows across platforms.
Contribute to cloud security monitoring, automation, and the coordinate and oversee the development of detection use cases.
Research and track AI security trends, adversarial ML risks, prompt injection threats, and model exploitation vectors.
Support audits, compliance efforts, and reporting as needed.
Identify key security metrics and keep executive management informed of Simpplr’s security posture at all times.
Requirements
15+ years of experience in the software industry with 10+ years in security operations, cloud security, or infrastructure/product security roles.
Proven experience with cloud platforms (e.g., AWS, GCP, or Azure) and associated security best practices.
Prior experience with MDR, SIEM and related security tools.
Very good knowledge of and experience with secure development lifecycle including securing the entire supply chain and CI/CD pipeline.
Experience in vulnerability management, incident response, and log analysis and traceability.
Understanding of application security principles, secure coding practices, and risk mitigation strategies.
Solid grasp of AI/ML fundamentals and awareness of associated threat vectors (e.g., model extraction, adversarial inputs, prompt injection).
Experience working with threat intelligence, security testing, and cross-functional engineering teams.
Strong communication and documentation skills, with a disciplined and self-driven mindset.
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