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As a Product Manager - Technical I, you will develop business cases for new products, create scalable customer-centric solutions, and manage the product life cycle while gaining cross-functional experience through the Mastercard Launch program.

The Senior Software Engineer is responsible for configuring and administering Akamai CDN services, DNS/Infoblox, and F5 Global Traffic Manager. Key duties include optimizing web performance, troubleshooting network issues, and collaborating on traffic management strategies while ensuring compliance with security best practices. The role also involves mentoring team members and staying updated on CDN and DNS technologies.

As a Lead Software Engineer, you will design and implement scalable software solutions while providing technical leadership to development teams. Your role involves driving architectural decisions, promoting agile development practices, and collaborating with multiple teams to ensure best practices are followed. You will leverage your expertise in microservices, Java, and cloud technologies to meet business needs and support high-volume financial systems.

The Software Engineer I (DevOps) role involves developing capabilities for Mastercard's Decision Management Platform, focusing on fraud prevention. Key responsibilities include providing technical analysis, collaborating in Agile environments, and identifying dependencies between teams.

The Reliability Engineer 1 is responsible for ensuring high service reliability and optimal infrastructure performance. Tasks include troubleshooting issues, implementing quality engineering practices, and supporting various technologies in global technology initiatives.

The Lead Software Engineer will design and implement scalable software solutions, provide technical leadership to teams, and ensure adherence to best practices. Responsibilities include creating secure and high-performance systems, collaborating with architecture teams, and mentoring developers to promote a culture of technical excellence.

As a Senior Data Engineer, you will optimize modeling pipelines, manage data integration, develop automated data pipelines, assist in deployment and validation, and create well-documented data products. You will collaborate with data scientists to solve complex challenges in AI and ML. Strong problem-solving skills are essential for success in a dynamic and innovative environment.