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Tier-1 employer and metro location but senior, specialized backend+AI reduces applicant density.
Requires deep backend architecture and production AI expertise, limiting cross-industry transferability.
Explicit 12+ years, leadership, backend and AI mandates make shortlisting highly strict.
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Lead architecture and design of scalable backend platforms integrated with AI technologies.
Define engineering strategy and best practices across architecture, coding, testing, security, and DevOps.
Mentor senior engineers and make technical decisions affecting multiple teams while driving AI-powered product innovation.
12–18+ years of software engineering experience with 5+ years in architecture for large-scale backend systems.
Bachelor's or Master's degree in Computer Science or related field.
Proven experience leading engineering teams across multiple products.
Strong expertise in system design, distributed systems, microservices, AI-enabled enterprise applications, and cloud-native development.
Experienced in designing and building production-grade AI/LLM applications including Retrieval-Augmented Generation and AI workflow automation.
Skilled in developing microservices-based architectures with high-performance REST and GraphQL APIs and event-driven systems using Kafka or similar.
Strategic technical leader capable of defining long-term architecture roadmaps and driving system reliability and performance optimization initiatives.