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Mid-level backend role, metro location, and broad Java/Kafka skillset increase candidate competition.
Java backend, databases, and Kafka skills are highly transferable across industries.
Explicit 3–5 years plus mandatory Java, Spring, and Kafka experience narrows candidate pool.
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Design, develop, and maintain scalable backend services and APIs using Java/J2EE and Springboot.
Own features end-to-end from design to deployment and monitoring, focusing on performance, scalability, and reliability.
Integrate generative AI and large language models into backend services and build AI-driven APIs with orchestration layers.
3–5 years of backend development experience.
Strong expertise in Java/J2EE, Springboot, Kafka, and React technologies.
Proficient with SQL (MySQL or PostgreSQL) including advanced queries, window functions, and basic stored procedures.
Experience with multithreading, memory management, system design, and familiarity with NoSQL databases (e.g., MongoDB) and RESTful Web Services.
Demonstrates strong analytical skills with proficiency in data structures, algorithms, and system design applicable to high-performance distributed systems.
Experienced in using AI-assisted development tools and integrating AI frameworks like Spring AI or LangChain4j in Java ecosystems.
Capable of managing cloud-native development including containerization tools (Docker, Kubernetes) and CI/CD pipelines, and comfortable with emerging AI tech such as prompt engineering and retrieval-augmented generation workflows.