Senior DevOps/Platform Engineer

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior DevOps/Platform Engineer Overview: Mastercard powers economies and empowers people across 200+ countries and territories. Together with our customers, we build a sustainable, inclusive economy by enabling secure, simple, smart, and accessible digital payments. Our technology, innovation, partnerships, and networks deliver products and services that help people, businesses, and governments reach their full potential. We are seeking a Senior DevOps/Platform Engineer to join the Mastercard Foundry R&D team. You will help build and scale AI/ML infrastructure to support our innovation efforts, with a focus on automation, observability, and developer experience. The ideal candidate is hands-on, curious, motivated, and comfortable working in fast-moving R&D environments. The Role: • Drive Platform Infrastructure: Own DevOps and infrastructure for traditional cloud native applications and agentic AI systems, establishing reusable patterns for CI/CD, scalable inference, orchestration, observability, and cost control. Design secure, scalable, repeatable systems using Infrastructure as Code (IaC) to support R&D workloads. • Build secure CI/CD & automation systems: Enable secure tool access, workload isolation, and infrastructure for LLM-backed APIs and MCP servers, while partnering with security and compliance on access control, infrastructure governance, and auditability. • Ensure Reliability & Observability: Implement and run monitoring, logging, and alerting. Tune observability for ML-specific workloads to ensure performance, reliability, and operational insight. • Provide Technical Leadership: Offer hands-on leadership across DevOps and platform initiatives. Review code, enforce best practices, improve tooling, and promote clean, well-tested infrastructure. • Cross-Functional Collaboration: Partner with ML, software, and platform engineers to design deployment strategies, scope work, manage agile deliverables, and meet milestones. All About You: • Expertise DevOps, SRE, or platform engineering with senior/lead responsibility. Proven ability to design and operate scalable, high performance production infrastructure, especially for AI/ML workloads. Strong leadership, mentorship, and ability to translate ambiguous goals into clear technical plans. • Deep professionalism with cloud platforms—Azure preferred (AWS/GCP also valued). Strong experience with cloud native services, serverless architectures, and managed Kubernetes (AKS/EKS/GKE). Solid understanding of Linux internals, networking, security, compliance, access controls, and mTLS. • Expert in Terraform and Terragrunt with strong GitOps and configuration management skills. Skilled at building maintainable, automated, self-service platform capabilities and internal developer platforms. • Advanced Kubernetes and Docker experience, including cluster operations at scale, container security, networking, and optimizing workflows for ML development. • Familiarity with ML workflows: feature stores, model registries, AI agents, RAG architectures, and frameworks like LangChain and LlamaIndex. • Experience with Databricks (workspace admin, clusters, Unity Catalog, Delta Lake, MLflow) and ML platforms such as Azure ML or SageMaker. • Hands on experience with Jenkins, GitHub Actions, GitLab CI, and modern pipeline/Artifact management. Strong software engineering fundamentals with advanced Python/Bash; Go is a plus. • Expertise with Prometheus, Grafana, ELK, and Splunk. Abi ... (truncated, view full listing at source)