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Principal Software Engineer

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

Azure
Go
Kubernetes
C#
Encryption
Google Cloud Platform
Java
AWS
SDKs
REST
gRPC
Leadership
Communication skills
Python

Full job description

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 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.

Apply Now

Refine Your Search

production engineer (kubernetes) jobs

Principal Software Engineer

Senior Software Engineer - Python (Hybrid)

Senior Machine Learning Engineer (Speech Synthesis)

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Principal / Director Software Engineer – AI Accelerators (Datacenter)

Senior Staff Customer Engineer – Automotive AI

Java Developer (AVP)

Senior Site Reliability Engineer

Senior Site Reliability Engineer (SRE) - Guidewire Cloud Platform (Application)

Senior II Backend Engineer

Software Engineering Team Lead

Senior Software Engineer - AI Build and Deployment

Cloud Security Architect

Senior Cloud Architect, Field Engineering (GenAI Focus)

Senior Manager, Engineering

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