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Tier-1 brand, metro Bangalore location, and broad fullstack/AI skill requirements increase candidate competition.
Core fullstack and cloud skills transferable, but Staff-level AI/security expectations increase domain specificity.
Explicit 8–12 years, Staff-level impact and mandatory tech/AI/cloud/security skills create strict filters.
Lead cross-team and cross-product initiatives from design through production adoption with measurable impact.
Design, develop, deploy, and operate critical, secure, and scalable production software with AI-assisted engineering.
Define architectural principles and build reusable frameworks and AI workflows while mentoring senior engineers and technical leads.
8 to 12 years of professional experience in software engineering.
Graduate or Postgraduate degree in Computer Science or Information Technology with minimum 15 years of formal education.
Strong hands-on expertise in AWS, TypeScript/Node.js, React/Next.js, distributed systems, data architecture, security, and AI engineering.
Demonstrated impact at Staff Engineer level across multiple teams, products, or domains.
Technical leader skilled at balancing organization-level architecture and hands-on implementation with cross-team influence.
Experienced in building foundational reusable software and guiding multiple teams in its adoption, focusing on systems thinking and AI engineering discipline.
Proficient in cloud-native architectures, event-driven distributed systems, AI workflows, and mentoring senior engineers to elevate delivery quality and reliability.