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Mid-level generalist backend role with broad tech requirements in metro increases applicant competition.
Core backend and distributed-systems skills are transferable, but AI specialization raises domain specificity slightly.
Multiple mandatory backend technologies listed creates technical filtering despite no explicit years requirement.
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Design, develop, and maintain backend services using Java and Spring Boot within a microservices architecture.
Implement and manage distributed systems utilizing Kafka for messaging and PostgreSQL for data storage.
Leverage AI skills to integrate or enhance backend functionalities, ensure secure access using OAuth2, and deploy services on Kubernetes.
Proficient in Java and Spring Boot frameworks.
Experience with Kafka, PostgreSQL, Kubernetes, and OAuth2.
Familiarity with microservices and distributed systems architectures.
Work Experience Required: Not explicitly mentioned in the JD.
Strong backend engineering expertise with hands-on experience in building scalable microservices.
Comfortable working with both core backend technologies and AI integration.
Experienced in deploying and maintaining distributed systems in containerized environments.