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.
Title and Summary
Mastercard is a global technology company in the payments sector. We power payments and provide products and services for individuals and industries all around the world. Our people, technology, data, and brand provide the capabilities that drive our success. We believe in connecting people to priceless possibilities. As a company, we know that our success is driven by the skills, experience, integrity, and mindset of the talent we hire. By building an inclusive, world-class culture, our employees have once-in-a-career opportunities to be a part of teams that have a greater impact on our community and our world. We invite you to join our team to find out how you too can start something priceless.
Overview
The Distributed Platforms Program is looking for an highly skilled Kubernetes engineering director to drive the delivery of a new on-premises Kubernetes capability (using Openshift). The Kubernetes platform will be rolled out at a significant scale across Mastercard and will be responsible for supporting tens of thousands of workloads globally. The successful candidate should have a balance of engineering and management skills, they will be responsible for team/people management, and engineering direction / best practices. Previous experience managing on premise K8s platforms at scale, operations, security hardening, and platform automation is a must.
Role
- Working within a global team, the role will be responsible for implementing IT initiatives that supports and continually improves our operational efficiency, driving automation, improving cost effectiveness, and creating operational excellence.
- Will include championing technology innovation and change, working with innovation stakeholders across the business, creating a culture of collaboration.
- Requires previous experience of implementing Kubernetes within a large organization, and to be proficient with infrastructure / platform automation, with the ability to evangelize these across the organization.
- Is primarily focused on services, ensuring we meet SLAs and efficiency targets, providing support for solutions based upon principles of high-availability, agility, scale and efficiency.
- Requires working with:
- Agile frameworks
- Infrastructure As Code
- Infrastructure and Network technologies.
- Orchestrate the build and deployment of containerized environments.
- Building and maintaining virtualization automation, monitoring, and reporting tools.
- Troubleshooting, resolving, and assisting in complex environmental issue resolution.
- Participation in automation initiatives driving change and efficiencies.
- Mentoring and sharing knowledge with other members of the team through retros, planning meetings and daily standups.
- Full time work mode.
- Opportunities to work in Dublin, Ireland or London, England (Angel Lane).
- Be part of a global team driving significant IT initiatives.
- Champion technology innovation and change.
- Create a culture of collaboration.
- Work with cutting-edge technologies in platform engineering.
- Opportunities for professional growth and development within a leading global technology company.
- 4+ years of management experience.
- 4+ years experience with building and running on-premises Kubernetes (ideally OpenShift). CKA, CKAD, or CKS certifications a plus.
- Solid infrastructure experience. Networking, storage, and compute (GPU, VMWare & Baremetal).
- Demonstrated ability to organize, manage, plan and control several concurrent initiatives with conflicting needs.
- Track record of successful delivery in a large enterprise environment.
- Experience working with complex, low latency containerized workloads
- Familiarity or working knowledge of public cloud patterns (AWS/EKS, Azure/AKS); container tools (Kubernetes, Docker); pipeline tools (Jenkins, Ansible, Terraform); ancillary (Artifactory, Hashicorp Vault); logging and monitoring (Loki, ELK, Prometheus, Kibana, Splunk, Dynatrace).
