Teams at Mastercard

Develop scalable backend payment software and cloud-native applications. Responsibilities include designing, coding, testing, deploying, and documenting solutions; participating in prioritization; reviewing code and automation; driving quality and technology standards; collaborating with product stakeholders; mentoring engineers; and improving development processes. The role focuses on Java, Spring Boot, DevOps, Oracle, automation testing, and secure financial transaction systems.

Owns production readiness and lifecycle operations for payment platform services. Responsibilities include improving CI/CD pipelines, DevOps automation, monitoring, capacity planning, incident response, postmortems, resiliency, deployment gating, root-cause analysis, and operational risk management. Partners with development, product, and operations teams to improve reliability and customer experience while mentoring junior engineers.

Build and maintain petabyte-scale data pipelines, entity-centric data models, and distributed workflows using Databricks and Spark. Partner with data science teams to productionize ML features and artifacts, optimize ETL/ELT processes, and implement testing, monitoring, observability, and incident response. Collaborate with governance and operations teams to ensure secure, compliant data management while supporting scalable merchant identity and trust-profile systems.