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 Lead Software Engineer Overview The CNPF Data advanced degree preferred.
+ 10 years software engineering experience building scalable, secure, maintainable production systems, including experience leading complex technical initiatives end to end Hands-on experience building and shipping AI-powered products or agentic applications using LLMs, orchestration frameworks, tool-calling patterns, retrieval, and context-aware workflows Strong understanding of agentic system design, including planning, reasoning loops, workflow orchestration, memory, grounding, evaluation, safety, and human-in-the-loop controls Experience taking AI solutions from prototype to production with sound engineering discipline around reliability, observability, latency, cost, security, and governance Experience with modern AI frameworks, SDKs, and tooling for building AI applications, agent workflows, and developer productivity use cases Strong programming skills in one or more backend languages such as Java or Python, with the ability to write high-quality, well-tested,



production-ready code Experience with modern front-end frameworks such as React and/or Next.js for building intuitive product experiences would be beneficial Experience building services in cloud-native environments using Kubernetes and managed cloud services on AWS, Azure, or GCP Good understanding of APIs, distributed systems, event-driven architectures, data pipelines, and integration patterns across enterprise platforms Experience with CI/CD, automated testing, DevSecOps, and engineering automation, including the ability to improve SDLC efficiency and release quality using AI tools Practical experience using AI coding and engineering assistants to improve productivity across design, implementation, testing, debugging, documentation, and operational support Strong background in software security, including authentication, authorization, secrets management, encryption, threat modelling, and secure deployment practices for AI-enabled systems Proven ability to create reusable platforms, frameworks, or internal engineering capabilities that improve developer experience and accelerate delivery across teams Strong product mindset with the ability to translate user needs and business goals into practical, high-impact technical solutions Excellent collaboration and communication skills, with experience influencing across engineering, product, data science, and leadership stakeholders 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.

📌 Lead Software Engineer (Xico)
🏢 Mastercard
📍 Xico