Jobs at Mastercard

Supports strategy and transformation consulting engagements for global clients across industries. Responsibilities include analyzing business problems, developing strategies and programs, preparing presentations, identifying insights, leading meetings, managing workstreams, collaborating with clients and internal teams, and delivering recommendations using data and technology. The role also contributes to project management, intellectual capital, and client relationships.

Leads the technical direction, architecture, delivery, and modernization of Mastercard’s Java and C++ Sanctions Service platform. Manages a seven-person software engineering team, balancing technical leadership with coaching, hiring, performance management, and roadmap execution. Drives scalable, secure, highly available systems, incident response, operational improvement, cloud readiness, and adoption of AI-assisted and agentic engineering practices within appropriate governance and compliance controls.

Leads data engineering for AI and machine learning fraud-detection products. Responsibilities include integrating disparate data sources, building scalable and automated pipelines, supporting modeling workflows, deploying production artifacts, creating documented data products, improving reusable processes, collaborating cross-functionally, leading projects, and mentoring junior engineers. Required technologies include Python, PySpark, Airflow, Hadoop, SQL, Databricks, Linux/Bash, CI/CD, and JIRA.

Leads the technical direction, architecture, delivery, and modernization of Mastercard’s Java and C++ sanctions screening platform. Manages a seven-person software engineering team while driving scalable, secure, highly available solutions, incident response, AI-assisted engineering adoption, and operational improvements. Partners with product, architecture, compliance, and operations stakeholders; mentors engineers; manages roadmaps and delivery commitments; and establishes responsible AI governance and engineering best practices.

Design, develop, and support scalable, secure software systems for Mastercard’s sanctions-screening platform. Lead technical design, coding, testing, deployment, production support, troubleshooting, and code reviews. Mentor engineers and collaborate with product, compliance, security, and operations teams. Apply AI-assisted development, agentic workflows, and intelligent automation to improve engineering productivity, reliability, and operational efficiency while maintaining strong governance, security, transparency, and human oversight.

Supports technical program managers in planning, coordinating, and delivering technology, product, and customer success initiatives. Tracks milestones, dependencies, risks, resources, and blockers across engineering, product, data science, and customer success teams. The role facilitates meetings, communicates program status, maintains delivery reporting, supports decision-making, and improves processes through automation and AI-enabled tools. It is an 18-month early-career program requiring strong analytical, organizational, communication, collaboration, project management, Agile, and technology skills.

Lead product vision, roadmaps, requirements, backlog prioritization, agile delivery, and operational health for Mastercard’s global, event-driven payment platforms. Partner with engineering and cross-functional teams to define and launch resilient, scalable, high-throughput payment capabilities. Measure outcomes, manage dependencies, improve processes, incorporate customer feedback, and drive continuous product improvements across distributed international teams.

Designs and implements scalable Java applications for Mastercard’s real-time Decision Management platform. Responsibilities include unit, integration, and functional testing; incident leadership and post-mortems; Scrum participation; stakeholder collaboration; troubleshooting; and mentoring team members. The role focuses on secure, maintainable, high-performance applications supporting fraud prevention and intelligent transaction decisions.

Analyzes Account Status Inquiry usage, transaction trends, customer behavior, and regional adoption to identify growth opportunities and product improvements. Builds KPI reporting, translates data into product requirements and business cases, supports customer and sales inquiries, and collaborates on launches, reporting, documentation, operational readiness, and customer enablement.

Owns product management and execution for Mastercard’s Attribute Verification suite, including Address Verification Service, CVC2, and Age Verification. Defines requirements, prioritizes backlogs, develops KPI dashboards, analyzes customer and market data, identifies regional growth opportunities, and coordinates with technical, regional, and customer-facing stakeholders. The role supports product modernization, customer value propositions, fraud prevention, regulatory needs, and revenue growth across global markets.

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.

Build and deploy production-grade AI and machine learning systems, including agentic applications, internal developer tooling, orchestration, APIs, evaluation frameworks, guardrails, and scalable deployment pipelines. Partner with data scientists to productionize proofs of concept, tune and validate models, monitor performance, manage versioning, and ensure reliable, ethical, and scalable operations.

Develop and operate large-scale distributed payment systems using reactive architectures. Responsibilities include coding, testing, deployment, automation, troubleshooting, service integration, architectural contribution, Agile collaboration, secure coding, and documentation. The role also involves reviewing team work, mentoring engineers, improving processes, and contributing to technology standards. Candidates should have strong object-oriented programming skills, preferably in Java, plus experience with CI/CD, Kafka, Flink, cloud development, infrastructure as code, and automated testing.

Lead the design, development, scaling, and optimization of highly available AWS cloud infrastructure and Kubernetes environments. Build Infrastructure as Code, CI/CD pipelines, monitoring, automation, and operational tooling using technologies including Terraform, Jenkins, Prometheus, Go, Python, and Bash. Provide technical leadership, mentor engineers, troubleshoot production infrastructure and networking issues, improve system reliability and performance, and participate in an on-call rotation.

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

Drive product development for Mastercard’s identity and security solutions, from concept through market validation. Understand customer needs, lead market analysis, shape product positioning, prioritize features, and manage roadmaps. Collaborate with technology, marketing, business development, and regional teams to deliver capabilities on time and within budget. Champion product value propositions, remove delivery obstacles, and manage global stakeholders across a matrixed organization.

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 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.

Lead architecture and platform strategy for Security Solutions, defining reusable patterns and prototypes. Partner with product, engineering, data science, and security to translate needs into scalable, secure architectures. Build proofs-of-concept, use AI-assisted coding, evaluate trade-offs, and drive cross-functional alignment to production readiness. Focus areas include agentic trust data, AI agents, cloud-native platforms, and security integrations.

Lead quality engineering and test automation for authorization decisioning: design and implement automated test frameworks, execute functional/integration/API/performance tests, integrate tests into CI/CD, define test strategies, troubleshoot defects, mentor engineers, and support release and production readiness.