Senior Engineer – Cloud Platform Engineer Job Mastercard
IT Jobs, Mastercard Jobs.
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.
Responsibilities
- 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 Foundry’s 24 x7 Production cloud environment
Qualifications
Knowledge/Experience (Preferred):
- 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
Skills/Abilities:
- High energy, can-do attitude, with a strong desire to succeed & learn
- Strong Analytical skills
- Good communication skills
- Self-motivated with the ability to work on own initiative
How to Apply
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