Senior Java Architect (Cloud-Native & GenAI Expertise)

Senior Java Architect (Cloud-Native & GenAI Expertise) Location: Bangalore Experience: 15-20 years Java Architect with 15 - 18 years of experience in software development including 5-8 years in architecture leadership Strong communication, stakeholder management, and architectural consulting skills Architectural Strategy, Leadership and Customer Connect Create reference architectures, best practices, blueprints, and governance models for AI-driven systems. Expertise in designing and guiding implementation for SOA, Microservices, DDD, Event-driven, serverless applications, web application architecture, data architecture and various integration patterns. Impress upon the architectural strategy to customers as practical solutions addressing their pain points directly Cloud-Native & Hyperscale Infrastructure Proven experience developing cloud-native applications. In-depth knowledge in cloud infrastructures like AWS, Azure or Google Cloud Platform (GCP) Modern API & Gen AI driven Application Development Lead adoption of GenAI across the enterprise—LLM integration, RAG patterns, AI-assisted development, and automation workflows. Partner with product, engineering, and business teams to shape AI-enabled solution roadmaps Expertise in core frameworks including Spring, Spring Boot, Spring Security, Spring Integration and Node.Js. Experience with application servers/containers like Tomcat, Netty, Jetty, Nginx is a plus. Programming Proficiency Hands-on programming experience with multiple languages, like Java, NodeJS, Python and Go. Enterprise Technology Implementation Practical implementation knowledge of enterprise technologies: Messaging Systems, Elastic Search, Caching (Redis), IAM open standards like OAuth 2.0, JWT DevOps & Data Engineering Good knowledge of Infrastructure as Software (Container Orchestration, Observability, CI/CD) technologies- Docker, Kubernetes, ServiceMesh, Serverless Knowledge of big data use cases and technologies such as Data lake, Data pipeline (AWS, Spark, Airflow) Monitoring & Observability Hands-on experience in implementing modern Observability practices across distributed systems (Microservices, Event-Driven) to gauge application health and performance