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Senior, niche AI-security role reduces applicant pool despite Hyderabad metro location.
Highly specialized AI and application-security focus limits cross-industry transferability.
Explicit 8+ years, staff-level requirement, security and AI tooling mandates increase screening rigor.
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Own identification, validation, and remediation of meaningful security risks across code, services, infrastructure, and software supply chain components.
Translate security findings into actionable remediation guidance, engineering fix proposals, reusable AI-SDLC patterns, and secure coding standards.
Collaborate with Security Research, Product, and Engineering teams to implement research insights, product improvements, detection, and reduce vulnerability patterns.
8+ years of professional software engineering experience, including 2+ years in a Staff Engineer or equivalent technical leadership role.
Proven experience identifying, validating, and remediating vulnerabilities in production software, services, APIs, infrastructure, or software supply chain.
Strong ability to understand complex codebases, preferably Java, Kotlin, or other JVM backend systems.
Hands-on experience with application security testing methods/tools (SAST, DAST, SCA, secret scanning, threat modeling, secure code review).
Experienced with AI-assisted engineering, security analysis, or automation to improve software quality.
Capable of translating security findings into clear remediation guidance and practical risk-based priorities for engineering teams.
Able to work cross-functionally across Application Security, Product, Engineering, and Security Research in an agile environment.