Lead Reliability Engineer AI Focus

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Lead Reliability Engineer (AI Focus) Overview

The Business Operations (Biz Ops) team is seeking a Lead Reliability Engineer to help establish an AI Community of Practice. Biz Ops serves as the production readiness steward for Mastercard products. As part of Reliability Engineering, we ensure highly reliable service functionality by developing and maintaining service management strategies, tools, and service-level objectives to deliver zero‑touch, resilient solutions for applications and infrastructure.

We see the big picture, enforce operational standards, and foster an agile, learning culture.

The Process and Governance team within Payment Network Biz Ops is embarking on a journey to build an AI Community of Practice across the enterprise. AI will be implemented at scale to provide a foundational competitive advantage—enabling all internal processes, products, and services to continuously advance Mastercard’s value proposition, consumer experience, and operational efficiency.

• Applying data analysis and reporting to support innovation, maturity of practices, and regulatory/compliance risk assessment.
• Analyzing IT Service Management (ITSM) activities and providing feedback to development teams on operational gaps and resiliency concerns.
• Engaging in the full lifecycle of services—from design and deployment to operation and refinement.
• Driving adoption of an industry-leading AI platform and building a secure, scalable, resilient ecosystem aligned with Mastercard standards.
• Supporting platform integration with internal systems, tools, and data sources, including real‑time and warehouse data.
• Preparing services for launch through design consulting, capacity planning, and readiness reviews.
• Maintaining live services by monitoring availability, latency, and overall system health.
• Optimizing processes and implementing best practices for reliability and automation.
• Collaborating across technical operations, product teams, data science, and quality engineering.
• Ensuring AI solutions comply with data management and privacy standards.
• Establishing governance, audit, and automation processes to accelerate build‑to‑deploy cycles.
• Troubleshooting production events holistically across the technology stack to minimize recovery time.
• Promoting a learning culture and advancing AI capabilities continuously.

• Bachelor’s degree in Information Systems, IT, Computer Science, Engineering, or equivalent experience.
• Strong analytical skills and curiosity to identify root causes and solve upstream challenges.
• Experience with AI platforms, data science frameworks, and integrating payment products and analytics solutions at scale.
• Knowledge of AI development tools, methodologies, and languages.
• Familiarity with data governance, security, privacy, and compliance in complex environments.
• Ability to adapt quickly to emerging trends and tools in AI/ML.
• Proven experience collaborating across development, operations, and product teams.
• Background in production support and ITSM processes.

Mastercard is an inclusive Equal Employment Opportunity employer. We consider applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disability, veteran status, or any other characteristic protected by law. Mastercard is a merit‑based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to…