Security Operations Engineer at Gridware enhancing security, detection, and response in cloud - first environments. Collaborating with IT and engineering teams to implement best practices.
About the role
- 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.
Benefits
- Hub-Hybrid-Remote Model
- Flexibility to work from home and office
- In-person collaboration opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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