Teams at Mastercard

Design and build production-grade, AI-enabled and agentic applications and platform capabilities. Apply agent orchestration, prompt/context management, and AI tooling to improve developer productivity. Build cloud-native services with reliability, observability, security, and CI/CD. Partner with product, data science, and engineering to move prototypes to production and drive platform-level engineering improvements.

Lead design, develop, and deploy Java-based microservices for a high-traffic B2B payments platform. Apply 12-factor principles, cloud (AWS/Azure), CI/CD, containerization, and performance optimization. Collaborate with product, TPMs, and QA, perform code reviews, and ensure security and architecture compliance.

Lead hands-on design and delivery of production AI/agentic applications and cloud-native services. Define engineering patterns for reliability, security, observability, and governance. Drive end-to-end delivery, mentor engineers, collaborate with Applied AI, Product, Security, and Platform teams, and shape technical roadmaps to scale AI-enabled products.