Jobs at Mastercard

Leads a Site Reliability Engineering team responsible for application health, scalability, resilience, performance, and production readiness. Oversees incident response, root-cause analysis, monitoring, alerting, capacity planning, CI/CD operational gates, and automation. Partners with development and product teams to establish SLOs, improve reliability, reduce operational toil, and support high-availability systems. Manages employee development, technical standards, documentation, and continuous improvement across distributed teams.

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 technical product development for cloud infrastructure platform capabilities. Define cloud-native strategy and multi-quarter roadmaps, translate business goals into epics and user stories, drive prioritization and delivery across multiple scrum teams, partner with engineering and architecture on design and trade-offs, manage risks and dependencies, and ensure compliance with security, privacy, and Mastercard technology standards.

Leads a technical team delivering secure, scalable cloud infrastructure across AWS and Azure. Owns the cloud platform roadmap, reusable infrastructure patterns, governance guardrails, automation, networking, reliability, FinOps, and execution of platform initiatives. Partners with engineering, product, security, architecture, operations, finance, and vendors; reviews designs, manages risks, supports negotiations, and develops teams across geographies.

Supports strategic consulting projects through data analysis, structured problem solving, client collaboration, trend identification, and presentation development. The intern works on small teams across industries, translates analytical insights into recommendations, builds client relationships, and gains exposure to business development, account management, and product management. The role includes mentorship, networking, volunteer activities, and specialization opportunities in performance analytics.

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 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.

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.

This role involves developing high performance, low latency Java solutions for the Fraud Management Platform, collaborating with a team in an Agile environment, and troubleshooting operational issues.

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.

18-month rotational Associate Consultant program working on client engagements in performance analytics. Collaborate in small teams to analyze large datasets, build propensity models and visualizations using SQL, Python and BI tools, engage with clients, and deliver data-driven strategic recommendations across industries.

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