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Strong brand, Bangalore metro location, mid-level 4–7yrs band, and broadly demanded AI/backend skillset increase competition.
Specialized agentic AI plus Java microservices and cloud-native requirements constrain cross-industry portability.
Explicit 4–7 years plus mandatory Java/Spring Boot, Kubernetes, Kafka, GraphQL and GenAI skills enforce strict filtering.
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Design, develop, and deploy enterprise-grade agentic AI solutions using Java microservices and cloud-native architectures.
Build and secure scalable APIs and backend services; implement OAuth 2.0, JWT authentication, and service mesh technologies.
Architect Kubernetes-native applications with observability, GitOps deployment strategies, and resilience patterns; collaborate to deliver scalable AI solutions.
4 to 7 years of relevant work experience.
Strong Java and Spring Boot microservices development skills; cloud-native application experience on Kubernetes mandatory.
Hands-on experience with OAuth2, JWT, Kafka, GitOps/CI-CD, observability tools, and secure API development.
Bachelor's degree in Engineering or equivalent; MBA also mentioned; AWS and Kubernetes certifications are preferred but not mandatory.
Experienced in designing and operating agentic AI systems integrated with backend Java microservices.
Skilled in implementing distributed, resilient, and secure large-scale cloud-native systems using modern frameworks and tools.
Familiarity with GenAI fundamentals including LLMs, RAG pipelines, agentic AI frameworks, and full-stack AI application development.