Java Architect
Persistent Systems · Mizuho_ROW · Lead
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["Java""Spring boot""Artificial Intelligence"]Technology stack
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Job Description Senior Architect – Java (with AI / GenAI) Position Senior Architect – Java (with AI / GenAI) Experience 12 – 15 years Primary Skill Java · Spring · Microservices Architecture Additional Skill Artificial Intelligence / Generative AI Domain (Good to Have) Banking / Financial Services Location Pune (Hinjawadi) - Hybrid Employment Type Full-time Reports To Engineering / Delivery Leadership Role Summary We are seeking a Senior Architect with 12–15 years of experience to own the end-to-end solution and application architecture of enterprise-grade, distributed platforms. This is a hands-on, Java-first architecture role: you will design scalable microservices and event-driven systems, set engineering standards, and lead modernization initiatives while actively embedding Generative AI into the delivery lifecycle. The ideal candidate is a deep Java technologist and a proven technical leader who pairs strong system-design fundamentals with practical adoption of AI/GenAI tooling. Experience in banking, payments, or financial services is a strong plus. Key Responsibilities • Own end-to-end solution and application architecture for enterprise Java platforms, translating business needs into resilient, scalable designs. • Design and evolve microservices and event-driven architectures using Spring Boot, Apache Kafka, IBM MQ, and ActiveMQ. • Define the API strategy across REST, gRPC, and GraphQL with schema-driven, contract-first design (OpenAPI/Swagger). • Drive cloud-native design on AWS and/or Azure/GCP, including containerization and orchestration with Docker, Kubernetes, and Helm. • Establish and enforce engineering standards — design patterns, clean architecture, domain-driven design, coding standards, and code reviews. • Adopt and champion Generative AI tooling (GitHub Copilot, SASVA, OpenAI Codex, Claude Code) to accelerate development, documentation, and application modernization. • Integrate AI/ML and RAG-based capabilities into enterprise applications where they add measurable value. • Own non-functional requirements — scalability, high availability, resiliency, security, performance, and observability. • Lead legacy modernization, re-platforming monoliths into scalable, maintainable microservices. • Provide technical leadership and mentorship; upskill engineers and grow the technical bench. • Collaborate with product managers, business stakeholders, QA, and DevOps to plan deliverables and timelines. • Safeguard quality, security, and performance through reviews, automated testing, and static analysis. Must-Have Skills — Primary (Java) • 12–15 years in software engineering, including 4+ years in an architecture or technical-lead capacity. • Core Java: deep expertise in Java 11/17+, concurrency, multithreading, collections, and functional programming. • Spring ecosystem: Spring Boot, Spring MVC, Spring Integration, Spring Security, and Spring Batch. • Architecture: microservices, design patterns, clean architecture, and domain-driven design. • Event-driven & messaging: Apache Kafka, IBM MQ, ActiveMQ, JMS, and Pulsar / Event Hubs. • APIs: REST, gRPC, GraphQL, and OpenAPI/Swagger. • Databases: relational (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL (MongoDB, Redis, Cassandra, DynamoDB, Cosmos DB). • Cloud & containers: AWS and/or Azure/GCP; Docker, Kubernetes, and Helm. • CI/CD & DevOps: Jenkins, GitLab CI, Git, and Maven; code quality with SonarQube and Snyk. • Testing: JUnit, Mockito, and integration/contract testing. • Security: Spring Security, JWT, TLS/SSL, and mutual TLS. • Non-functional design: high availability, scalability, resiliency, performance tuning, and observability. Additional Skills — Artificial Intelligence / GenAI • GenAI developer tooling: hands-on with GitHub Copilot, OpenAI Codex, Claude Code, and SASVA for code generation and modernization. • RAG & LLM integration: experience with Retrieval-Augmented Generation frameworks, prompt engineering, and integrating LLMs into applications. • AI-accelerated delivery: applying GenAI to code generation, documentation, knowledge retrieval, and test automation. • AI/ML fundamentals: sound understanding of core AI/ML concepts and integrating AI-enabled features and services into Java applications. • Vector stores (nice to have): familiarity with embeddings and vector databases. Good to Have — Banking / Financial Services • Domain experience across banking, capital markets, payments, or financial services / insurance. • Financial messaging standards: ISO 20022, ISO 8583, CBPR+, pacs.008 / pacs.009, and camt. • Payment rails & networks: Fedwire Funds Service, FedNow, and networks/gateways such as Mastercard and PayPal. • Compliance & rules: AML/sanctions screening (e.g., FircoSoft), rules engines (Drools), and compliance-driven processing. • Transaction systems: real-time / high-value transaction processing, reconciliation, order management systems, and mutual-fund / DTCC integrations.
Requirements
["Java", "Spring boot", "Artificial Intelligence"]
Roles & responsibilities
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