Overview
Data Science and Artificial Intelligence represents the next phase in the advancement of our digital transformation and is a significant evolution for MasterCard. We continue to evolve our Data Science and AI strategy to support aggressive growth plans, and we are seeking a Senior Software Engineer to join the AI/ML Workbench team. This position requires a working knowledge of what it takes to stand up on-prem platforms and services (such as Kubernetes) and the importance of secure design and data privacy.

Role
In this role you will be working with technologies and concepts such as Kubernetes, Kubeflow, Python, Golang, software defined networking, GPU compute, data privacy to support delivery of AI/ML tooling and services to our customers.

Work you'll do:
• Act as a trusted engineer on internal strategic initiatives by implementing objective, practical and relevant solutions while also building organizational partnerships and networks to ensure comprehensive solutions are developed with input from appropriate resources.
• The senior cloud engineer will implement standards for supported hosting platforms.
• Implement hosting requirements and infrastructure build plans.
• Create topology diagrams for applications and cloud platforms.
• Implement innovative solutions meeting current and future business requirements.
• Implement, document, publish and governance of cloud platform hosting standards.
• Will work in the evaluation of new cloud technologies and platforms
• Implement integration strategies and recommended design solutions.
• Will contribute in the development of cloud driven hosting models leveraging private & hybrid clouds, evaluation, implementation IaaS and PaaS solutions to help deliver infrastructure at the pace of development needs
• Knowledge of cloud, container, and micro services architectures.
• Plan, organize, and control multiple responsibilities to achieve project objectives; technically guide projects through to completion.

Desired Skills:

Platform engineering skills
• Have Experience with Kubernetes platform technologies. RedHat Openshift , Helm, Logging & Monitoring
MLOPS experience would be a plus
Python ML, Spark, Jupytor notebook, DataScience Pipeline etc.
• Exceptional communication skills and the ability to communicate appropriately at all levels of the organization.
• Has skills to orchestrate release workflows and pipelines, and apply standardized pipelines via APIs to achieve CI and CD using industry standard tools (e.g., Jenkins, AWS/Azure pipelines, XL Release, others).
• Excellent influencing and reasoning skills; good at conflict resolution and consensus building.
• Proficient in developing enterprise solutions.
• Experience in IaaS and PaaS implementations covering monitoring, configuration management, and orchestration.
• Knowledge of web concepts, infrastructure technologies and tools.
• Demonstrated experience working on projects that span multiple IT functions where analysis of systems or data requires an in-depth evaluation of complex business processes, system processes, and industry standards.
• Experience working across a matrixed environment
• Firewalls/Security Groups
• DNS Routing
• VM Configuration (vSphere, ESXi)
• Security Administration
• Auto-Scaling, Containerization, Application Load balancers, etc.
• Cost Management on Cloud infrastructure
• Serverless architectures
• Cloud storage management
• Infrastructure as code (Terraform)
• Logging, Monitoring, Alerting, Tracing sizing and tuning

Required:
• Bachelor's degree required
• Cloud Architect experience
• hands on Cloud Engineering experience
• Must have experience with on-premise cloud architecture, development, and engineering

• GO / Python Development
Nice to have MLOps understanding .
• Nice to have CKA, CKAD, OpenShift EX280/Ex380

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 Mastercard's 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 Mastercard's guidelines.