Principal Software Engineer

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 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.