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Generalist Java backend role with cloud/AI in metro at a known analytics firm attracts many qualified applicants.
Strong Java/Spring microservices and Azure requirements imply transferable backend skills but require domain-specific experience.
Multiple mandatory technical skills (Java, Spring Boot, microservices, Azure, Kubernetes) create moderate filtering.
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Design, develop, and maintain Java-based microservices using Spring Boot within cloud-native architectures on Azure.
Integrate AI/ML services and develop agentic systems like AI agents and automation bots to enable intelligent decision systems.
Collaborate with cross-functional teams to ensure application performance, scalability, security, and contribute to CI/CD pipelines and DevOps practices.
Strong experience with Java 8+, Spring Boot, Spring MVC, Spring Security, and Spring Data JPA/Hibernate.
Proven experience in microservices architecture and RESTful API development.
Hands-on experience with Azure cloud services including Azure App Services, AKS, Azure Functions, and Azure databases.
Work Experience Required: Not explicitly mentioned in the JD
Experienced in integrating AI/ML tools and AI services such as Azure AI, OpenAI, Cognitive Services, with a solid understanding of agentic AI concepts and automation workflows.
Familiar with DevOps tools including Docker, Kubernetes, CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions) and Git version control.
Comfortable working in a collaborative, cross-functional environment spanning DevOps, QA, Data, and AI teams focused on scalable, secure cloud-native software solutions.