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$170,000 – $337,000
Listed on Mastercard’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A senior infrastructure engineering role building AI platforms and systems to support Mastercard's machine learning and AI operations at enterprise scale. This suits someone with deep expertise in large-scale compute, storage, and networking who enjoys translating business needs into technical architecture and working across complex organizational boundaries.
Our summary, not Mastercard’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Bachelor's degree in Computer Science, Electronics, or related engineering field
- Significant experience with large-scale infrastructure or platform engineering in complex enterprise environments
- Proven track record owning and delivering infrastructure roadmaps in on-premise or private cloud settings at scale
- Working knowledge of AI/ML concepts, data science workflows, and model lifecycle management
- Deep understanding of compute (CPU/GPU), high-performance storage, and networking technologies for AI platforms
- Experience running RFIs and RFPs, evaluating vendor proposals, and partnering with sourcing and finance teams
- Ability to navigate and influence within a matrixed organization
- Executive-level communication skills for presenting technical topics to senior leaders
Nice to have
- Hands-on or architectural exposure to high-density, high-power AI infrastructure including cooling and power considerations
- Familiarity with Generative AI and Agentic AI architectures and their infrastructure requirements
- Product thinking skills balancing user needs, feasibility, cost, and platform evolution
- Experience challenging assumptions and defending design decisions with data