





Mid-level Java backend role with popular stack but added AI, Kafka, Kubernetes specialization increases competition.
Standard backend technologies are highly transferable across industries despite AI specialization.
Explicit 6–8 years requirement plus mandatory Java, Spring, Kafka, Kubernetes, and AI skills tightens screening.
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Develop and maintain backend systems using Java, Spring Boot, and microservices architecture.
Implement and manage event streaming functionalities utilizing Kafka.
Work with distributed systems involving PostgreSQL, Kubernetes, and OAuth2, integrating AI components.
6 to 8 years of professional experience in Java backend development.
Strong expertise in Spring Boot, Kafka, Microservices, PostgreSQL, Kubernetes, and OAuth2.
Experience with integrating AI technologies into backend systems.
Work Experience Required: 6 to 8 years.
Experienced in building and scaling distributed backend systems in cloud-native environments.
Prior exposure to AI applications within backend development.
Skilled in secure, scalable microservices architecture and event-driven design.