Jobs at Mastercard

Develop, test, deliver, and support scalable software solutions for Mastercard’s Cardholder Services platform. Build Java-based applications, REST APIs, automation frameworks, and CI/CD solutions while collaborating in Agile teams. Lead automation initiatives, troubleshoot production issues, conduct code reviews and technical evaluations, mentor engineers, and promote secure, high-quality engineering practices.

Leads global software engineering organizations responsible for release quality, platform stability, modernization, cloud-native and distributed architectures, AI adoption, and operational excellence. Establishes testing and release governance, reduces technical debt, improves engineering productivity, and promotes security, resilience, and compliance. Develops engineering leaders, drives succession planning, manages strategic partners, and advises executives on quality, risk, delivery, and technology strategy.

Oversee governance and quality review of balance sheet reconciliations across global entities. Ensure compliance with GAAP, IFRS, corporate policies, and financial controls; review supporting documentation, identify risks and aged items, resolve discrepancies with stakeholders, and report findings to management. Develop standardized reconciliation procedures, metrics, and governance frameworks while identifying automation and process improvement opportunities.

Operate and improve enterprise multi-cloud platforms across AWS, Azure, Kubernetes, and hybrid environments. Lead complex incident resolution, reliability engineering, CI/CD troubleshooting, observability, security operations, infrastructure-as-code, and automation initiatives. Build self-healing and AIOps-driven workflows, support DevSecOps practices, manage cloud and container infrastructure, and drive root cause analysis and operational excellence. Serve as an escalation point for L1 teams while following ITIL incident, change, and problem-management practices.

Leads architecture, design, and delivery of scalable software and analytics platforms. Provides technical direction, mentors engineers, conducts code reviews, resolves complex development and production issues, and collaborates with global cross-functional teams. Develops backend applications using Java and PostgreSQL, contributes to ReactJS frontends, improves CI/CD and testing practices, and communicates technical decisions to diverse stakeholders.

Design, develop, test, deploy, and support secure, scalable payment-network software using Java, Spring Boot, microservices, REST APIs, Kafka, and event-driven architecture. Troubleshoot production and performance issues, contribute to CI/CD, observability, resiliency, and automation, and collaborate across engineering, product, architecture, and operations teams. Provide technical leadership, mentor team members, and drive decisions across workstreams.

Lead reliability-focused technical programs across Mastercard’s authentication platforms. Coordinate Agile ceremonies, resource planning, backlog prioritization, dependencies, release governance, platform upgrades, migrations, and production rollouts. Partner with Engineering and SRE teams to improve availability, resiliency, performance, scalability, operational readiness, observability, automation, and disaster recovery. Manage risks and stakeholder communication while influencing cross-functional teams and driving continuous operational improvement.

Develop scalable platforms and services for Mastercard’s Priceless platform. Responsibilities include hands-on software development, code reviews, collaboration with product and design teams, automated testing, CI/CD, cloud-native development, DevOps, stakeholder communication, and maintaining quality, reliability, security, and system performance.

Provides technical leadership for teams developing secure, scalable e-commerce payment authentication products. Leads complex software projects, architecture, Agile delivery, technical solution evaluation, quality assurance, security, budgets, and cross-functional collaboration. Oversees cloud-native microservices development, mentors engineers, supports talent acquisition, improves engineering standards, and ensures delivery within schedule and budget. The role requires extensive software engineering leadership, AI-native development, mobile application experience, payment-domain knowledge, and expertise in Java, Spring, cloud platforms, and security technologies.

Leads engineering teams building scalable, reliable backend systems for global payment networks. Responsibilities include architecture, Java and Spring Boot development, delivery ownership, operational excellence, system reliability, observability, incident management, and cross-team coordination. The role also involves hiring, mentoring, and developing engineers while ensuring high performance, availability, security, and predictable execution across distributed systems.

Designs, administers, secures, patches, upgrades, and optimizes Microsoft SQL Server databases across on-premises and cloud environments. Monitors performance, troubleshoots incidents, manages backup and recovery, implements database changes, and supports release processes. Partners with engineering and analytics teams, architects database solutions, improves change controls and best practices, mentors team members, and provides on-call support.

Develops and delivers secure, mission-critical software solutions from design through deployment. Responsibilities include writing and reviewing code, testing, debugging, CI/CD automation, API and service integration, architecture development, release orchestration, operational improvements, and incident mitigation. The role collaborates with product stakeholders, manages delivery risks and metrics, conducts demonstrations, drives engineering standards, and mentors less-experienced engineers.

Lead and manage a software engineering team to design, develop, and deliver backend solutions. Define technical direction, drive cross-department initiatives, partner with business stakeholders, manage budget/resources, enforce processes, and ensure timely, high-quality delivery using microservices, event-driven architectures, CI/CD, containerization and cloud-native platforms.

Develop and test high-performance software for Mastercard’s real-time decision management and fraud prevention platform. Drive quality engineering practices, automate acceptance, integration, functional, and non-functional testing, and improve CI/CD and release processes. Collaborate with developers to build reliable, performant, and testable systems using Java, microservices, cloud technologies, and observability tools. Mentor team members while remaining hands-on in development and test automation.

Lead the architecture and delivery of enterprise backend services, APIs, distributed systems, cloud-native applications, and agentic AI workflows. Design scalable solutions using Java, Spring Boot, AWS, event-driven architectures, and modern data platforms. Drive modernization, observability, security, reliability, automation, and engineering standards. Mentor engineers, lead technical initiatives, influence platform strategy, and collaborate across product, security, operations, and architecture teams.

Leads the Payment Reconciliation Intelligence program across product and engineering teams. Responsibilities include managing complex initiatives, technical program managers, Agile/SAFe ceremonies, Scrum teams, roadmaps, budgets, quality metrics, risks, stakeholders, and delivery trade-offs. The role requires technical understanding of product architecture, hands-on experience with .NET or Java, cloud and microservices exposure, and strong program leadership, communication, and problem-solving skills.

Develops and productionizes machine learning and data science solutions for Mastercard’s Business & Market Insights products. Responsibilities include feature engineering, model training and deployment, exploratory analysis, large-scale PySpark processing, advanced SQL, pipeline optimization, responsible AI controls, and product innovation. Partners with product, engineering, sales, and clients to prioritize solutions, deliver milestones, incorporate feedback, and improve products. Provides technical leadership and mentorship to junior data scientists.

Develop advanced reporting, data visualization, data models, and analytical solutions using large-scale datasets. Translate business requirements into deliverables, build repeatable modeling and reporting processes, manipulate databases, and provide actionable insights through presentations. Apply data validation and cleansing, while developing generative AI solutions with Python, Azure OpenAI, LLMs, agentic systems, and workflow automation.

Leads data science and AI/ML product development, designing, productionizing, and optimizing traditional machine learning and generative AI solutions. Builds LangChain and LangGraph applications, processes large datasets with PySpark and SQL, evaluates model quality and performance, and applies privacy, security, responsible AI, monitoring, and explainability controls. Partners cross-functionally on product strategy, mentors data scientists, establishes reusable technical practices, and drives releases and continuous product improvement.

Manages net revenue accounting processes, including contract review, rebate and incentive validation, month-end close, journal entries, reconciliations, variance analysis, reporting, and SOX compliance. Partners with business and financial systems teams, supports global stakeholders, and drives process improvements using Oracle and Mastercard’s Contra Revenue System.