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Tier-1 brand, mid-level backend title, Bangalore location, and broad microservices/AI requirements increase competition.
Microservices and cloud skills are transferable, but agentic AI and LLM requirements add domain specificity.
Explicit 6–8 years requirement and mandatory Java, Spring, cloud, Kubernetes, and AI/LLM experience.
Design, develop, and maintain Java microservices leveraging Spring Boot and Spring Cloud for scalable distributed systems.
Build and integrate AI-powered features and intelligent agents using LLMs and AI APIs into enterprise Java applications.
Implement containerized microservices using Docker and Kubernetes, and collaborate to build CI/CD pipelines for automated deployment and monitoring.
6-8 years of experience as a Java Developer with microservices development.
Strong expertise in Java, Spring Boot, Spring Cloud, RESTful API design, Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI, and version control using Git.
Solid understanding of distributed systems concepts including service discovery, API gateway, circuit breakers, and fault tolerance.
Experienced in designing distributed Java microservices architectures with operational focus on scalability, performance, and resilience.
Skilled in integrating AI capabilities (LLMs, OpenAI, Hugging Face) into production enterprise-grade systems.
Proficient in container orchestration and automated deployment workflows, working effectively within Agile development teams.