Mastercard
Fintech · Card network
- HQ
- Purchase, US
- Founded
- 1979
- Size
- 35,000+
- Website
- mastercard.com
Mastercard currently has 16 active job listings related to artificial intelligence. The majority of these roles, 50%, are focused on serving infrastructure. Engineering is the primary function for these AI positions, with the United States being the top hiring country. Frequent technical tags include model serving, agent orchestration, and inference infrastructure, suggesting a focus on deploying and managing AI models. In the last 30 days, Mastercard has posted 23 new AI roles, representing a 667% increase from the previous 30-day period.
Currently tracking 3 active AI roles, down 63% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$265k (avg $211k).
Fintech · Card network
Mastercard currently has 11 active AI-related roles in our index. The most common open titles are: Senior Software Engineer (3), Foundry R&D Software Engineer II, Lead Software Engineer, Lead Technical Program Manager, Manager, Software Engineering. Most positions are in Engineering.
Mastercard's active AI hiring is concentrated in: agents (45%), serving infrastructure (36%), application (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Mastercard is hiring AI talent in: United States (7 roles), Ireland (3 roles), Singapore (1 role).
Job postings at Mastercard most frequently reference: model serving, inference infra, agent orchestration, rag, guardrails.
In the past 30 days, Mastercard has posted 5 new AI-related roles. That is a -79% change versus the prior 30 days (24 → 5).
| Title | Stage | AI score |
|---|---|---|
| Lead Site Reliability Engineer Lead Site Reliability Engineer responsible for ensuring the production readiness, stability, and health of Mastercard products. This role focuses on fostering developer ownership, implementing operational design, automation, capacity planning, and monitoring to build fault-tolerant, scalable, and resilient products. The team aims to shift left in the development process, proactively manage production, and mitigate risks while ensuring compliance. Key responsibilities include leading the full lifecycle of services, analyzing ITSM performance, defining production readiness standards, evolving monitoring frameworks, championing automation, driving CI/CD pipelines, leading incident response, and mentoring junior engineers. | — | 0 |
| Business Operations Site Reliability Engineer Mastercard is seeking a Business Operations Site Reliability Engineer to ensure the stability and health of their platform, focusing on production readiness, developer ownership, and operational excellence. The role involves engaging in the full lifecycle of services, from design to refinement, with a strong emphasis on automation, capacity planning, monitoring, and incident response. Key responsibilities include shifting left to proactively manage production, mitigating risks, and aligning operational needs with product and customer priorities. The ideal candidate will have experience in security and/or enterprise monitoring, strong UNIX/Linux and DevOps skills, and a systematic problem-solving approach, preferably with experience in the banking/payment industry. |
| — |
| 0 |
| Senior Site Reliability Engineer Senior Site Reliability Engineer for the Xborder team, focusing on solving problems, implementing automation, and leveraging best practices to ensure the reliability, scalability, and performance of the platform. This role involves engaging in the full lifecycle of services, from design to operation, and embedding SRE principles into the delivery process. | — | 0 |
| Site Reliability Engineering Manager Mastercard's Xborder team is seeking a Site Reliability Engineering Manager to lead the SRE transformation, focusing on reliability, scalability, and production readiness of technology platforms. The role involves embedding operational excellence, driving automation, managing incident response, and developing a high-performing global team. Experience in financial services is preferred. | — | 0 |
| Senior Analytics Engineer Mastercard is seeking a Senior Analytics Engineer responsible for defining and maintaining data architecture, data maintenance, integration, and load processes. The role involves selecting and developing database technologies, optimizing SQL queries, ensuring database security, and providing technical assistance for database performance. Experience with AWS, Databricks, Python, Spark, and Lakehouse is required. | — | 0 |
| Technical Project Manager Mastercard is seeking a Technical Project Manager to oversee the successful and timely implementation of projects, manage stakeholder relationships, and mitigate project risks within the payments industry. | — | 0 |
| Senior Platform Architect Mastercard is seeking a Senior Platform Architect to develop and own the architecture for on-premise compute, storage, and runtime products and services, including hardware standards. The role involves defining and leading the GPU and AI infrastructure strategy, establishing architecture standards, and influencing platform direction. The ideal candidate will have extensive experience in large-scale compute and storage architectures, container platforms, and designing infrastructure for GPU-accelerated AI/ML workloads. | — | 0 |
| Senior Software Engineering Manager Mastercard is seeking a Senior Software Engineering Manager to lead complex, cross-department initiatives and drive the design, development, and delivery of high-quality, scalable software solutions. This role involves setting technical direction, influencing architectural decisions, and solving complex problems with broad organizational impact, balancing hands-on engineering with strategic leadership and collaboration. | — | 0 |
| Senior Cloud Platform Engineer Mastercard is seeking a Senior Cloud Platform Engineer to maintain, operate, and improve internal cloud platforms and supporting services. The role focuses on incident response, platform resiliency, architectural improvements, and automating repetitive processes. Success requires deep understanding of cloud/PaaS, strong automation/coding skills, and knowledge of CI/CD and IaC. | — | 0 |