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Popular backend role, mid-level experience, metro location, and broad skillset create high competition.
Core Java backend skills are highly transferable across industries despite some AI-specific mentions.
Explicit 4–5 years plus specific Java/Springboot/Kafka/DB requirements make screening strict.
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Design, develop, and maintain scalable backend services and APIs using Java/J2EE including high-performance distributed systems.
Own feature development end-to-end including design, deployment, performance optimization, and monitoring.
Integrate AI and generative models into backend services; implement Retrieval-Augmented Generation workflows and AI-driven APIs.
4–5 years of backend development experience.
Strong expertise in Java / J2EE, Springboot, Kafka, and React technologies.
Proficient in SQL (including complex queries, window functions, indexing, and transaction management) and database experience with MySQL, PostgreSQL, and NoSQL.
Experience with AI-assisted development tools or modern Java AI frameworks; knowledge of multithreading, memory management, system design; familiarity with RESTful services.
Experienced Java backend developer with proven ability to own features end-to-end and optimize for scalability and reliability.
Comfortable working with AI integration in backend systems, including generative AI, LLMs, and vector databases.
Knowledgeable in cloud-native development practices including containerization, CI/CD, and using AI-assisted coding tools.