Role Overview
Define and lead architecture for scalable, cloud-native applications, integrating modern microservices, DevOps, and emerging AI/GenAI capabilities into enterprise solutions.
Key Responsibilities
Design end-to-end architecture using Java, Spring Boot, Microservices
Define API strategy (REST/GraphQL) and system integration patterns
Architect solutions on AWS (EC2, S3, Lambda, API Gateway)
Define AI integration patterns (LLM APIs like Claude, OpenAI, RAG-based systems)
Establish standards for Docker, Kubernetes, and scalable deployments
Drive CI/CD (Jenkins, Azure Pipelines) and DevOps maturity
Ensure observability using Prometheus, Grafana
Define data architecture across Oracle/PostgreSQL and vector DBs (good to have)
Enable AI-driven features (chatbots, automation, recommendations)
Mentor teams on microservices + AI-enabled architecture
Key Skills
Strong expertise in Java, Spring Boot, Microservices
Deep knowledge of AWS cloud architecture
Hands-on with Docker, Kubernetes, CI/CD
Experience with AI/GenAI tools (Claude, OpenAI APIs) Good to Have
Understanding of RAG, embeddings, prompt engineering
Good to Have
Messaging systems (RabbitMQ/Kafka)
Strong stakeholder communication
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