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Tier-1 employer, metro location, and generalist backend title drive high competition.
Requires deep backend Java, microservices, cloud, and GenAI expertise, limiting cross-industry transferability.
Explicit 9–12 years and mandatory backend, Java, microservices, and GenAI expertise make screening highly strict.
Lead architecture and technology strategy for scalable backend platforms with focus on Java/Spring Boot, microservices, and distributed systems.
Provide technical leadership and mentorship across multiple engineering teams, driving modernization and cloud adoption.
Design and implement AI-powered backend services integrating Generative AI technologies like LLMs, embeddings, vector databases, and AI orchestration frameworks.
9 to 12 years of relevant work experience in backend and AI technologies.
Proficient in Java, Spring Boot, microservices architecture, and scalable backend system design.
Experience with AI/Generative AI technologies including LLMs, embeddings, vector databases, and AI integration.
Work Location: Gurugram, Haryana, India (onsite requirement is not explicitly mentioned but implied).
Experienced technology leader skilled in designing complex distributed systems and leading multi-team engineering initiatives.
Strong integration experience with modern AI/GenAI frameworks and practical application of AI in backend services.
Demonstrated ability to drive technology strategy, modernization efforts, and cross-functional collaboration with data science and ML teams.