Jobs at Mastercard

Lead development of low-latency, high-performance Java solutions for Mastercard's Fraud Platform. Design and implement features, define QA strategy, build automation, run unit/integration/performance tests, troubleshoot production issues, mentor peers, produce documentation, and manage medium-sized initiatives within an Agile team.

As a Lead Software Engineer, you will design and implement high-performance cloud-ready solutions, mentor team members, and ensure best development practices.

Manage and mentor a team of software engineers, deliver large-scale distributed systems, engage in architectural discussions, and ensure high-quality code delivery.

As a Lead Software Engineer, you will design and implement resilient distributed systems, write production-ready code, mentor junior engineers, and guide architectural direction.

The Consultant will manage client projects, develop business strategies, and mentor junior consultants while delivering effective presentations and analysis.

Design, develop, test, deploy, and support high-performance, cloud-ready full-stack applications (frontend and REST/gRPC backends). Mentor teammates, drive engineering best practices, implement secure coding and CI/CD pipelines, troubleshoot production incidents, and contribute to API/service adoption and platform-scale decisioning solutions.

Lead product management for Account Protection within Mastercard Identity, supporting product lifecycle from onboarding through monitoring, recovery, and investigation. Define requirements, partner with engineering and data science, engage customers, drive go-to-market, pricing, and API integrations to mitigate fraud (ATO, synthetic identity, mule networks) and deliver scalable account-level intelligence.

Lead product strategy and delivery for Mastercard's real-time, event-driven payment platforms. Define vision, translate requirements into epics/features, prioritize backlogs, work closely with engineering and cross-functional teams, oversee operational health, measure outcomes, and iterate using lean and agile practices to ensure scalable, resilient, observable, and secure payment systems.

Design, build, and operate large-scale, real-time payment microservices. Own end-to-end delivery including coding, testing, deployment, automation and operations. Troubleshoot/refactor code, drive architecture and technology adoption, mentor teammates, integrate services for customer journeys, and improve engineering and operational metrics.

Design, build, and operate secure, scalable full-stack applications (Java/Node.js/React) in cloud environments. Own end-to-end delivery, production reliability, incident response, API design (REST/GraphQL), mentor teammates, and drive engineering best practices including testing and CI/CD.

Lead definition and governance of Agentic Trust strategy across Identity & Fraud, Cybersecurity, and Disputes. Prioritize initiatives, drive execution with product and engineering, incubate new capabilities, establish governance, align senior stakeholders, and shape market narrative and commercialization.

Lead market enablement for Agentic Trust across Mastercard regions: drive adoption through training, go-to-market materials, client engagement, market insights, and cross-functional alignment to support product launches and commercialization.

Lead product strategy and execution to build, scale, and operationalize Agentic Trust solutions across identity, fraud, cyber, and disputes. Drive cross-functional delivery, incubate capabilities, ensure platform scalability, and prepare solutions for market readiness and commercialization.

Manage the software engineering team for the Fraud Management Platform, providing technical leadership and driving system architecture for fraud prevention solutions.

Design, build, and maintain scalable data pipelines and ML systems at petabyte scale using Databricks/Spark. Partner with data science to productionize models, implement testing/monitoring, ensure compliance, and optimize ETL/ELT for merchant identity and fraud-risk applications.

Support security operations through incident, vulnerability, and threat management; maintain security posture (IAM, key management, scans, hardening); automate tasks in the SIEM; respond to incidents; document risks and controls; participate in audits and on-call rotation; evaluate and improve security tools and processes.

Develop and productionize ML/AI models and scalable data science capabilities for merchant risk assessment. Work on data extraction, feature engineering, entity resolution, prototyping models, validating and monitoring performance, and building Databricks/Spark-based workflows in collaboration with Data Science, Product, and Engineering teams.

The Senior Software Engineer will enhance IBM ODM Rule solutions, focusing on fraud rule engines, large-scale migrations, and platform modernization while ensuring high availability and low latency solutions.

Lead and grow a data science team to build merchant registry and profiling capabilities. Define strategy, drive ML model development and deployment at scale, establish best practices, partner with Product and Engineering, and deliver measurable business outcomes while promoting reusable assets and Agile delivery.

Lead research and development of ML/AI solutions to detect risks in agentic commerce. Prototype and productionize models using Databricks, Spark, and cloud platforms; drive feature engineering, validation, experimentation, and collaboration with product and engineering teams.