Director Product Architect (Java, REST, SpringBoot, AI/ML, LLM)
On-sitePune, Maharashtra, India
Job Summary
Shape the end-to-end product architecture for Mastercard's switching and network services, defining high-level system designs that align with decoupling, microservices, and domain-driven design principles. Collaborate with product managers, regional solutions, and engineering teams to validate technical feasibility, establish architectural artifacts, and ensure implementations adhere to approved designs for scalability, resilience, and security. Leverage hands-on expertise in Java, SpringBoot, REST, and AI/ML to drive innovation, articulate trade-offs to diverse stakeholders, and support strategic opportunities across the full product lifecycle.
Required Qualifications
- Strong hands-on knowledge and experience in software architecture and system design for complex, enterprise-scale systems
- Proven history of designing enterprise-grade applications following Domain Driven Design, Microservices, Event Driven Systems, Cloud Native principles, API design, Eventual Consistency
- Strong technical knowledge and demonstrated experience in Software Architecture and System Design
- Exposure to Cloud, Messaging middlewares, Monitoring tools, Authentication/Authorization, gRPC, REST, Variety of Persistence and Caching technologies, Frontend stack, AI/ML, LLM, Deep learning
- Experience building, integrating, or experimenting with LLMs, AI automation solutions, prompt engineering, AI-assisted development tools, or machine learning use cases
- Strong ability to distill complex systems into clear, structured documentation
- Exhibit sound judgment and swift decision-making skills, strong attention to detail and accuracy
- Understanding of payments industry, payment services and Switching
Desired Qualifications
- Strong understanding of AI-enabled product development and ability to identify practical opportunities to apply AI across platform architecture, product strategy, operational efficiency, and customer experience
- Hands on expert
- Ability to build consensus on the architectural solutions
- Ability to Clearly articulate architectural trade-offs and design rationale to diverse audiences, including business, technology, and leadership stakeholders
- Exposure to following technologies- Java, REST, SpringBoot, Kafka, NATS, gRPC, noSQL, Cassandra, AI/ML, LLM, Postgres, Redis, Prometheus, Grafana, React
- Familiarity with vector databases, embeddings, semantic search, knowledge graphs, or enterprise knowledge retrieval patterns
- Understanding of payments industry, payment services and Switching is a plus
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