Senior AI Platform Engineer (DevOps)
Core
Design, build, and operate enterprise AI platforms and infrastructure to enable scalable, secure, and reliable AI/ML workloads across Mastercard.
Role type
Senior IC AI Platform Engineer (DevOps/MLOps)
Builds
Enterprise AI platforms, MLOps tooling, and cloud infrastructure for model training, evaluation, deployment, and monitoring.
Domain
Fintech / Enterprise AI / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Cloud-native system design, Kubernetes/OpenShift, Python, CI/CD, MLOps, observability, distributed systems, automation
Preferred skills
Generative AI/LLM workloads, model governance, GPU-accelerated computing, GitOps, vector databases, agentic systems
Technologies
Kubernetes, OpenShift, Docker, Helm, Python, CI/CD, Infrastructure as Code
Responsibilities
Design and operate scalable AI platforms; engineer cloud solutions for security and reliability; automate platform capabilities for AI lifecycle management; implement MLOps workflows; build observability and drift detection solutions; partner with engineering teams to accelerate AI product delivery; drive engineering best practices and incident response.
Seniority
Senior, hands-on IC
