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Strong brand, mid-level generalist backend title, metro location and 3-6 years range increase competition.
Core Java backend and microservices skills are highly transferable across industries, so background sensitivity is low.
Explicit 5+ years plus mandatory Java, Spring, microservices, containers, and testing skills make shortlisting strict.
Design, build, and maintain scalable backend services and RESTful APIs using Java 17+ and Spring Boot.
Develop, deploy, and manage microservices in containerized environments (Docker, Kubernetes/OpenShift).
Integrate Large Language Model APIs and Java-based GenAI frameworks to enhance applications with AI-driven features like summarization and semantic search.
Strong proficiency in Java (Java 11/17+) with knowledge of multi-threading, concurrency, and OOP design patterns.
Experience with Spring Boot, Spring Cloud, Spring Data, and Spring Security frameworks.
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
Work Experience Required: 5+ years in professional Java backend development, with demonstrated familiarity or projects involving Generative AI or LLM integration.
Experienced backend engineer proficient in microservices and container orchestration technologies (Docker, Kubernetes/OpenShift).
Technical ability to integrate AI and GenAI capabilities into Java backend systems, with practical experience or interest in LLM APIs and RAG applications.
Comfortable working collaboratively with cross-functional teams, translating business requirements into robust and scalable technical solutions.