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 enterpriseLLM 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
