Senior Engineer – Cloud Platform Engineer
About Mastercard
an American multinational payment card services corporation headquartered in Purchase, New York.[5] It offers a range of payment transaction processing and other related-payment services (such as travel-related payments and bookings)
Description
Qualifications
• 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
Additional Experience (Beneficial)
Having 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 LogAnalytics & 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