Deloitte—Deputy Manager | Java Springboot | Bengaluru | Engineering as a Service/ Operate

Job description

Description: Java Solution Architect Role Summary Java Solution Architect to define and govern scalable, cloud-native architectures for Edward Jones. The ideal candidate brings expert-level Java and Spring expertise, strong architectural leadership, and increasingly, hands-on experience with AI Native architecture patterns including RAG, LLMs, and cloud AI services. Key Responsibilities • Design and own scalable application architectures and microservices for enterprise Java systems • Produce High-Level Design (HLD) and Low-Level Design (LLD) documentation • Lead architecture reviews and ensure adherence to coding and architectural best practices • Mentor and guide development and QE teams on technical decisions • Coordinate with onshore (client/partner) teams to align on priorities, requirements, and milestones • Design AI Native architectures including RAG-based embeddings, Agentic frameworks, and LLM integrations • Work with Azure cloud AI services for AI integration and deployment • Implement and manage memory management strategies for AI-powered applications • Conduct and lead code reviews across squads • Drive DevOps automation and deployment pipelines Skills & Experience Required • 9+ years of software engineering experience; 13+ years preferred • 3–5 years as an architect on technical design for both on-premises and cloud systems • Expert proficiency in Java, Spring Boot, REST APIs, and Spring Batch • 3+ years of AI Native architecture experience — RAG, LLM deployment, memory management, cloud AI services • Hands-on experience with Azure OpenAI, fine-tuning models, and GenAI integrations • Strong skills in HLD and LLD, DevOps tooling (Maven, Git, CI/CD, Autosys) • Good to have: RPM Packaging and Linux • Excellent communication with both technical and non-technical stakeholders • Subject matter expert across multiple IS disciplines — business solutions, systems development, security Note: Candidates with AI Native architecture experience (RAG, LLMs, Agentic frameworks) are strongly preferred.