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 Software Engineer Overview The CNPF Data Strong understanding of APIs, distributed systems, event-driven architectures, and enterprise integration patterns Intermediate experience with React or Next.js Experience with cloud-native development using Kubernetes and managed cloud platforms such as AWS or Azure Experience with CI/CD, automation, and engineering productivity tooling; Familiarity with modern AI frameworks, SDKs, and tools for building intelligent applications and agent workflow Proven experience building scalable, maintainable, production-grade systems Proven experience designing and implementing unit, functional, and integration testing strategies and frameworks Hands-on experience building applications or platforms using Generative AI or agentic design patterns Strong understanding of: Distributed systems and cloud-native architectures APIs, event-driven systems, and integration patterns AI system design trade-offs (latency, cost, reliability, safety, governance)



Experience driving code quality through peer code reviews and engineering standards enforcement Experience taking AI-enabled solutions from prototype to production with strong engineering discipline across reliability, observability, performance, and security Experience improving SDLC through: CI/CD pipelines Automation and testing frameworks AI-assisted engineering workflows Experience with Kubernetes and cloud platforms (AWS, Azure) Familiarity with AI frameworks, SDKs, and tools (LLMs, RAG, embeddings, inference APIs) Preferred Qualifications Familiarity with model evaluation, AI safety controls, and governance practices Experience building reusable developer platforms or internal engineering tools Practical use of AI coding assistants to improve delivery speed and quality; Familiarity with LLM orchestration, prompt and context management, memory patterns, inference APIs, embeddings, retrieval-augmented generation, vector databases, model evaluation, AI observability, and responsible AI controls.
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.

📌 Senior Software Engineer (Xico)
🏢 Mastercard
📍 Xico