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Mid-level Pune role with popular security title but niche AI security reduces applicant density.
Role requires specialized AppSec and AI security experience, limiting easy cross-industry transfers.
Explicit 3–5 years plus specialized AppSec and AI security requirements enforce strict filtering.
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Integrate and maintain automated security controls into CI/CD build pipelines and developer workflows to enhance product security.
Leverage and strategize operational AI security controls for product-facing AI features including threat modeling of generative and agentic AI architectures.
Collaborate with engineering and security teams to review code, triage vulnerabilities, manage supply chain risks, and enable developer training on secure AI practices.
3-5 years of security engineering experience in a SaaS product company.
Bachelor’s degree in Computer Science, Information Technology, or equivalent.
Strong experience with AppSec fundamentals including OWASP Top 10, threat modeling, cryptography, container security, and secure SDLC frameworks like SAMM or Microsoft SDL.
Proficiency in code review and scripting with Python, Go, or Javascript and experience with security tools like Burp Suite, Snyk, OWASP ZAP, and CI/CD security scanners.
Experienced in security engineering roles focusing on SaaS platforms with hands-on exposure to operationalizing AI security within CI/CD environments.
Skilled in threat modeling and mitigation strategies specifically for advanced AI systems such as Agentic AI, multi-agent communication, and LLM security use cases.
Capable of bridging traditional application security and modern AI-driven security automation, with ability to build security enablement programs for engineering teams.