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Mid-level popular backend title, metro location, and common 3–5 year requirement increase applicant density.
Common backend Java and database skills are transferable across industries.
Explicit 3–5 year requirement plus mandatory Java/Kafka/backend skills increases shortlisting rigidity.
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Design, develop, and maintain scalable backend services and APIs in Java, owning features end-to-end from design to deployment and monitoring.
Build high-performance distributed systems using Java/J2EE, optimizing for performance, scalability, and reliability.
Integrate modern AI technologies and frameworks such as generative AI, LLMs, and RAG workflows into backend services using Java AI frameworks like Spring AI or LangChain4j.
3–5 years of backend development experience.
Strong expertise in Java / J2EE, Springboot, Kafka, and React technologies.
Experience with SQL databases (MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB), including strong SQL query writing and transaction management knowledge.
Familiarity with multithreading, memory management, system design, and experience with RESTful Web Services.
Experienced in building and deploying backend systems that incorporate AI-driven APIs and orchestration layers.
Skilled in using AI-powered development tools and knowledgeable about prompt engineering and token optimization.
Comfortable with cloud-native development concepts, including containerization (Docker, Kubernetes) and CI/CD pipelines.