Principal Software 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 Principal Software Engineer Overview Mastercard is seeking a Principal Software Engineer to architect, build, and operate the API platform that securely exposes foundation model capabilities across the organization. This role is critical to enabling safe, scalable, and compliant adoption of generative AI and advanced analytics across Mastercard products and services. As a senior technical authority, you will define the architectural standards and operational practices that allow teams to consume AI model capabilities reliably and responsibly. You will partner closely with AI/ML engineers, product, security, and platform teams to deliver production‑grade APIs that meet Mastercard’s requirements for performance, resilience, governance, and trust. Role In this role, you will be responsible for end‑to‑end ownership of the foundation model API layer, ensuring it is secure, scalable, observable, and easy to adopt. Key responsibilities include: Architect and build enterprise‑grade API platforms that expose foundation model capabilities (e.g. inference, embeddings, agents) to internal consumers Define and enforce API standards, including versioning, backward compatibility, SDKs, and developer experience best practices Design and implement security and governance controls, including authentication, authorization, policy enforcement, audit logging, and usage limits Ensure platform reliability, scalability, and performance, including traffic management, caching, retries, and graceful degradation Partner with AI/ML engineering teams to productionize model capabilities while abstracting complexity from downstream consumers Drive observability and cost control, delivering usage metrics, monitoring, alerting, and cost attribution across tenants and applications Lead technical design reviews and code reviews for critical services, setting a high bar for engineering quality and operational readiness Influence broader platform and AI strategy through architectural guidance, technical proposals, and trade‑off analysis Mentor senior engineers and act as a role model for secure, resilient, and maintainable software engineering practices All About You Extensive experience designing and operating large‑scale, distributed production systems Deep expertise in API and platform engineering, including REST and/or gRPC, service gateways, and multi‑tenant architectures Strong background in software security, including authN/authZ, encryption, secrets management, and threat modeling Experience building services in cloud‑native environments (e.g. Kubernetes, managed cloud services on AWS, Azure, or GCP) Proven ability to deliver reliable, observable, and cost‑efficient services in high‑availability environments Strong programming skills in one or more backend languages (e.g. Java, Go, C#, Kotlin, Python) Familiarity with foundation model integration patterns, such as inference APIs, embeddings, RAG pipelines, and safety controls (preferred) Experience working in regulated or enterprise environments, with an understanding of compliance, auditability, and risk management Excellent communication skills with the ability to influence technical direction across teams Demonstrated leadership through technical excellence, mentorship, and architectural ownership, rather than people management alone Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to t ... (truncated, view full listing at source)