Jobs at Mastercard

Develop and evolve Mastercard’s high-volume, cloud-native Java platform for fraud prevention, identity validation, and AI-backed decision-making. Responsibilities include defining architecture and technical strategy, designing distributed systems and microservices, driving proofs of concept, supporting implementation, ensuring scalability and resilience, and promoting engineering best practices across teams.

Lead technical vision and platform architecture for high-volume, cloud-native Mastercard systems. Design and develop scalable Java solutions, drive proofs of concept, guide technical teams, and ensure architectural consistency across products. Work with distributed systems, microservices, event-driven messaging, databases, Kubernetes, AWS, observability, resiliency, and security-by-design practices. Share knowledge of emerging technologies and support complex implementation initiatives.

Define platform architecture and technical strategy for high-volume, cloud-native payment solutions. Design and develop scalable Java systems using distributed architectures, microservices, event-driven messaging, Kubernetes, AWS, and relational or NoSQL databases. Lead proofs of concept, guide technical teams, ensure architectural consistency, and promote resilience, observability, security, and operational excellence across mission-critical products.

Lead the technical vision and architecture for high-volume, cloud-native Mastercard platforms supporting fraud prevention, identity validation, and AI-backed decisions. Design scalable Java solutions, guide development teams, drive proofs of concept, ensure architectural consistency, and promote best practices across distributed systems, microservices, event-driven platforms, observability, resilience, and security.

Defines platform architecture and technical strategy for Mastercard’s high-volume, cloud-native fraud and identity solutions. Designs and develops Java-based distributed systems, drives proofs of concept, guides technical teams, and ensures scalability, resilience, security, observability, and architectural consistency. Collaborates with architects and technical leads across geographically distributed teams while advancing platform technologies and engineering best practices.

Develop and evolve high-volume, cloud-native Java platforms supporting fraud prevention, identity validation, and AI-backed decision-making. Define technical vision and platform architecture, guide engineering teams, design scalable and resilient solutions, lead proofs of concept, and ensure consistency across products. Collaborate with architects and technical leads on implementation, observability, security, performance, and operational excellence while sharing knowledge of emerging technologies.

Lead the technical vision and architecture of Mastercard’s high-volume, cloud-native Java platform for fraud prevention, identity validation, and AI-backed decisions. Design scalable, resilient distributed systems; guide development teams; create proofs of concept; and ensure architectural consistency across products. The role requires expertise in Java, Kubernetes, AWS, messaging, event-driven architectures, microservices, databases, observability, security, and high-availability platforms.

Define and evolve architecture for Mastercard’s high-volume, cloud-native fraud and identity platforms. Design and implement scalable Java solutions using distributed systems, microservices, event-driven architectures, messaging, databases, Kubernetes, and AWS. Partner with architects and technical leads, guide technical strategy, conduct proofs of concept, ensure platform resilience, security, observability, and performance, and share knowledge across geographically distributed engineering teams.

Design and develop complex, cloud-native, high-volume software platforms for fraud prevention, identity validation, and AI-backed decision-making. Responsibilities include defining platform architecture, driving technical strategy, developing Java solutions, evaluating technologies through proofs of concept, supporting distributed engineering teams, and ensuring scalability, resilience, security, observability, and operational excellence across products.

Define platform architecture and technical strategy for Mastercard’s high-volume, cloud-native fraud and identity solutions. Design and develop Java-based distributed systems, event-driven services, APIs, and resilient microservices. Partner with architects and technical leads, drive proofs of concept, evaluate technologies, ensure architectural consistency, and support engineering teams through knowledge sharing. The role requires expertise in Kubernetes, AWS, messaging, databases, observability, scalability, security, and mission-critical platform operations.

Define platform architecture and technical strategy for high-volume, cloud-native Mastercard systems. Design and develop Java solutions using distributed systems, microservices, event-driven architectures, messaging, databases, and cloud platforms. Lead technical direction, proofs of concept, architectural consistency, solution selection, and collaboration with architects and engineering teams. Ensure scalability, resilience, availability, performance, observability, operational excellence, and security across mission-critical platforms.

Designs, develops, and supports cloud-native data products and platform capabilities. Builds scalable batch and streaming pipelines using Databricks, Snowflake, Iceberg, Delta Lake, and cloud platforms. Implements governance, security, observability, CI/CD, infrastructure automation, and operational controls. Collaborates with product, architecture, governance, and business teams while supporting production readiness, platform modernization, and continuous improvement.

Design and build Agentic AI tooling, services, and reusable patterns. Implement AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, develop frontend (React/Next.js) and backend (Java/Python) systems, improve developer experience via automation and CI/CD, and partner with stakeholders from prototype to validation while sharing best practices.

Leads technical solution design, customer onboarding, implementations, and ongoing support for Mastercard’s open finance and digital solutions. Coordinates delivery across commercial, product, engineering, and technology stakeholders; ensures governance and technical standards; develops documentation and repeatable processes; and mentors junior team members. The role requires strong Java development, architecture, API and SDK integration, customer implementation leadership, stakeholder management, and communication skills.

Leads technical solution design, customer onboarding, implementations, and ongoing support for Open Finance and digital solutions. Coordinates commercial, product, and engineering teams, ensures compliance with standards and governance, develops technical documentation and repeatable processes, and mentors junior staff. Requires strong Java development, architecture, API and SDK integration, modern web technology knowledge, customer implementation leadership, stakeholder management, and communication skills.

Leads technical solution design, customer onboarding, implementation, and ongoing support for Open Finance and digital payment solutions. Coordinates commercial, product, and engineering teams; ensures compliance with standards and governance; develops technical documentation and repeatable processes; and mentors junior team members. Requires strong Java, web technology, API integration, solution architecture, stakeholder management, and customer implementation expertise.

Build and ship AI-enabled applications, tooling, and platform capabilities for agentic AI. Design reusable services, evaluate models and frameworks, improve developer workflows, and partner across product and engineering to prototype and scale AI solutions.

Leads technical solution design, customer onboarding, implementations, and ongoing support for Open Finance and digital payment solutions. Coordinates commercial, product, and engineering teams; ensures compliance with Mastercard standards; develops technical documentation and repeatable processes; manages stakeholder relationships; integrates APIs and SDKs; and mentors junior team members.

Designs and implements scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Develops and reviews well-tested code, collaborates with product and design teams, mentors junior engineers, and improves development processes. The role requires expertise in Java, Spring Boot, React, TypeScript, distributed systems, cloud-native development, automated testing, and data-driven solutions.

Build and maintain scalable full-stack, data-intensive applications and APIs. Develop and optimize data pipelines using Databricks/Spark, contribute to architecture and code reviews, resolve performance bottlenecks, collaborate with cross-functional teams, mentor colleagues, and uphold engineering best practices for reliability and scalability.