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Tier-1 brand, metro location, and broad technical requirements increase applicant competition.
Deep Java backend leadership with AI integration makes industry transfer moderate.
Explicit 12+ years, 8+ lead years, and mandatory Java/Spring/Kubernetes/Kafka make filters strict.
Lead and mentor a backend development team in building scalable Java-based AI-powered platforms.
Architect and deploy robust, secure backend services and APIs using Java, Spring Boot, and microservices.
Collaborate with data scientists to integrate machine learning models, overseeing full lifecycle development and enforcing code quality standards.
12+ years of backend software development experience with strong Java expertise.
8+ years in technical leadership or lead developer roles with successful project delivery.
Extensive experience with Spring Framework (Spring Boot), microservices architecture, containerization (Docker), orchestration (Kubernetes), and RESTful APIs.
Experience with relational and NoSQL databases, message brokers (Apache Kafka or RabbitMQ), and Agile methodologies.
Experienced in leading backend teams in fast-paced, Agile environments with strong strategic ownership of technical architecture.
Demonstrated ability to integrate AI/ML models within backend systems and collaborate cross-functionally with data scientists and product managers.
Familiar with large-scale enterprise-grade technology environments, preferably within financial services, with a strong grasp of emerging backend and AI technologies.