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Popular backend Java role, mid-level experience band, and Pune metro location increase candidate competition.
Core Java backend skills are highly transferable across industries despite optional GenAI requirements.
Explicit 2–5 year range plus mandatory Java/Spring/microservices/cloud skills create moderately strict filters.
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Design, develop, and maintain scalable enterprise Java applications using Spring Boot and microservices architecture.
Integrate AI/Generative AI capabilities into enterprise applications through Java frameworks, APIs, and cloud platforms.
Deploy, monitor, and optimize Java applications in cloud environments with containerized deployments (Docker, Kubernetes).
2+ years of hands-on experience in Java application development.
Strong proficiency in Java 8/11/17+, Spring Boot, RESTful APIs, microservices, and ORM frameworks like Hibernate/JPA.
Experience with cloud platforms (AWS, Azure, or GCP) and container orchestration (Docker/Kubernetes) - familiarity preferred but core cloud knowledge required.
Bachelor’s or Master’s degree in Computer Science, IT, Artificial Intelligence, or related discipline.
Experienced Java developer with practical skills in building scalable, high-performance, secure enterprise applications and integrating AI capabilities.
Comfortable working in Agile/Scrum teams with cross-functional collaboration across Product, Engineering, QA, and DevOps.
Familiarity or interest in AI integration frameworks, especially Agentic AI, and working with cloud-native architectures and modern CI/CD pipelines.