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Generalist mid-level backend role, common tech stack, and recognizable startup brand create moderate competition.
Core Java backend skills are easily transferable across industries and product domains.
Explicit 3–5 years requirement plus mandatory Java, Springboot, Kafka and SQL increases filtering strictness.
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Design, develop, and maintain scalable backend services and APIs with full ownership from design to deployment.
Build and optimize high-performance distributed systems using Java/J2EE and related technologies.
Integrate AI technologies such as generative AI, LLMs, and RAG workflows into backend services using modern Java AI frameworks.
3–5 years of backend development experience.
Strong expertise in Java/J2EE, Springboot, Kafka, and React.
Proficiency in SQL (complex queries, window functions, transaction management) and experience with MySQL/PostgreSQL and NoSQL databases.
Experience with multithreading, memory management, system design, and familiarity with RESTful Web Services and cloud-native tools (Docker, Kubernetes, CI/CD).
Experienced in full lifecycle backend development with ownership from design to deployment in high scale systems.
Familiar with modern AI integration in backend services, including generative AI frameworks and vector databases.
Able to optimize and maintain complex systems leveraging advanced database and performance tuning skills.