\\\\Our Purpose\\\\ \Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were 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.\\ \\\\Title and Summary\\\\ Senior Engineer - Cloud Platform Engineer Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Mastercard are looking for a talented Cloud platform engineer to join the Mastercard Foundry team. In this role you will work in a highly agile team to support product development and innovation projects, managing cloud-based & hybrid hosting environments as well as the implementation and maintenance of development services. An additional core focus of the role is to experiment and try out new & emerging technologies, with the view to designing and building out the next generation hosting platform. Our team is built on a foundation of research and development, mining innovation internally and creating new product lines with emerging technologies. As part of Foundry, the team both supports the existing environments, but also researches new technologies and processes to continuously push our hosting environment and development experience. Role Role requires working with various cross-functional engineering specialists, project managers and application development teams to define and implement a cloud-based hosting solution Working with emerging technologies, AI driven tools & agentic use cases and incorporating same into common SDLC/PDLC Responsible for supporting running applications, infrastructure, and development teams on a day-to-day basis Capturing technical requirements and defining technology solutions for approval; creating the conceptual, logical, and physical design of the solution to ensure appropriate technology is acquired and implemented Evaluating technologies and determining strengths and weaknesses of technology architecture, implementation, and suitability; recommending solutions to ensure consistency with the company vision Ensures technical feedback from stakeholders is brought back to ensure it is taken into consideration for future technology and solution directions Support Mastercard Foundrys 24 x7 Production cloud environment All About You: Knowledge/Experience: Strong background and familiarity with AI development workflow, coding assistants, AI tooling & Agentic frameworks for infrastructure provisioning Understanding of AI/MLOps, retraining and evaluation workflows as well as an understanding of the tooling that support these Experience building and supporting cloud & hybrid infrastructure Azure, AWS, GCP, VMware, OpenShift & Bare-metal Experience in containerization solutions Kubernetes (AKS, EKS, OCP), Docker Experienced in pipeline development for CI/CD & IaaC Solid grasp of configuration management and infrastructure automation tools like Ansible, Terraform, Chef, Puppet, GitHub Actions Strong knowledge of code versioning and build tools such as Jenkins, Git, Artifactory Any of the following will also be beneficial but not essential: Solid networking background (TCP/IP, TLS & cert management, Load Balancing, Routing, Switching, IP networking, F5, SD-WAN fundamentals) Experience supporting database instances RDBMS or NoSQL (e.g., Postgres, MySQL, MongoDB) Experience with environmental and application monitoring tools (e.g., Splunk, Grafana, Azure Log Analytics & Azure monitor, Dynatrace, Zabbix, Prometheus, ELK etc.) Any Cloud deployment certification - AWS Certified Solutions Architect, or MCSE Cloud Platform & infrastructure AI/ML & Data science knowledge & experience \\#AI1 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 complete the online application process or during the recruitment process, please contact reasonable\\ and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. \\\\Corporate Security Responsibility\\\\ All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: \\+ Abide by Mastercards security policies and practices; \\+ Ensure the confidentiality and integrity of the information being accessed; \\+ Report any suspected information security violation or breach, and \\+ Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. In line with Mastercards total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program. This posting reflects one or more current openings on our team. \\\\Pay Ranges\\\\ Toronto, Canada: $111,000 - $160,000 CAD

The role requires a strong background and familiarity with AI development workflow, coding assistants, AI tooling, and Agentic frameworks for infrastructure provisioning. Understanding of AI/MLOps, retraining, and evaluation workflows, along with supporting tooling, is also necessary. Experience in building and supporting cloud and hybrid infrastructure across Azure, AWS, GCP, VMware, OpenShift, and Bare-metal is essential. Proficiency in containerization solutions like Kubernetes and Docker, along with experience in CI/CD and IaaC pipeline development, is required. A solid grasp of configuration management and infrastructure automation tools such as Ansible, Terraform, Chef, Puppet, and GitHub Actions is also a key requirement. Strong knowledge of code versioning and build tools like Jenkins, Git, and Artifactory is needed.