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Multiple amplifiers: known brand, Bengaluru metro, mid-level generalist AI role, and broad skillset.
Requires combined agentic AI and backend cloud-native skills, making it moderately transferable across industries.
Explicit 4–7 years plus many mandatory technical skills (Java Spring Boot, Kubernetes, Kafka, security, observability).
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Lead design, development, and deployment of enterprise-grade agentic AI solutions using Java microservices and cloud-native architectures.
Develop and implement AI agents with frameworks like LangChain, LangGraph, and deploy secure, scalable backend services with Spring Boot and Kubernetes.
Ensure system resilience, security (OAuth2, JWT), observability (OpenTelemetry), and employ GitOps for continuous deployment in distributed, event-driven environments.
4 to 7 years of relevant work experience in Java microservices and cloud-native application development.
Strong expertise in Java, Spring Boot microservices, Kubernetes, OAuth2, JWT, and secure API development.
Proficient with Kafka-based event-driven architecture, observability tools (OpenTelemetry, Prometheus, Grafana), and CI/CD with GitOps.
Educational qualification: BE/BTech/MCA/MTech/MBA in relevant fields.
Experienced in end-to-end design and deployment of production-grade agentic AI platforms integrating GenAI technologies and backend microservices.
Skilled in building resilient, secure, and scalable distributed systems leveraging modern DevOps practices and cloud-native infrastructure.
Comfortable working with event-driven architectures, GraphQL, NoSQL databases, and modern AI orchestration tools/frameworks.