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Tier-1 brand and Bangalore metro raise competition, but seniority and niche supply-chain/AI specialization reduce density.
Role's focus on supply-chain security, cloud, and agentic-AI makes skills less transferable across industries.
Explicit PhD/MS, 10+ years, cloud/container, language, and AI/LLM requirements enforce strict candidate filters.
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Own architecture vision and multi-year roadmap for Salesforce's Trusted Supply Chain platform focusing on scanning, attribution, remediation, and runtime defense across public cloud and private infrastructure.
Lead the AI-native rebuild of supply-chain stack including designing agentic systems for autonomous triage, fix authoring, validation, and closure in CI pipelines.
Coach teams on supply-chain and application security best practices; mentor engineers and define next-generation security engineering standards in an enterprise SaaS environment.
M.S. or Ph.D. in Computer Science or equivalent practical experience.
10+ years building applications or systems software at scale.
5+ years working in public-cloud environments using container-based technologies such as Docker, Kubernetes, Istio, or service mesh.
Hands-on experience building production systems with LLMs and practical fluency with AI developer tooling and agentic engineering patterns.
Senior individual contributor with strong technical leadership and ability to define and execute multi-year technology strategies under ambiguity.
Deep experience in cloud-native secure software development, supply-chain security, and AI/agentic system engineering in large-scale SaaS platforms.
Operates with a builder mindset to redesign SDLC security integrating AI tools for automation and operational excellence rather than purely specifying solutions.