Build innovative, production-ready software and agentic AI systems using multi-agent workflows, tool-calling agents, and orchestration. Evaluate AI models based on cost, latency, reliability, and capability; apply emerging standards such as MCP, AGENTS.md, and SKILLS; and contribute across the full software development lifecycle. Collaborate in an R&D environment to develop concepts, present solutions, accelerate product delivery, and maintain strong security, quality, and developer experience practices.
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
Software Engineer II
Mastercard Foundry R&D is seeking a Software Engineer II who is AI-native by default. This role is for an engineer who uses AI in every aspect of daily work- coding, design, planning, reviews, and ideation.
You will contribute to the development of innovative solutions, focusing on new product ideation, concept creation, and presenting solutions to various stakeholders. As a collaborative team member, you will leverage advanced AI tools and methodologies to accelerate innovation and bring products to market more rapidly, working closely with colleagues to drive impactful outcomes across Foundry and the wider Mastercard organisation.
Role & Responsibilities
- Work AI-first across the full SDLC: coding, design, planning, reviews, and innovation - Design and build Agentic AI systems (multi-agent workflows, tool-using agents, orchestration)
- Apply and evolve emerging standards such as AGENTS.md, MCP, and SKILLS
- Evaluate and select AI models with clear understanding of trade-offs (cost, latency, reliability, capability)
- Help build scalable, production-ready software and integrations
- Stay current with AI market trends, frameworks, and emerging technologies
Required Experience
- Strong understanding of MCP, AGENTS.md, SKILLS, tool-calling patterns
- Experience with modern AI tooling such as:
- GitHub Copilot
- Claude (UI, CLI, Claude Code)
- OpenAI / Codex-style tooling
Software Engineering
- Good experience with RESTful APIs, Web standards and related security principles.
- Java (JDK 21+ / Spring Boot)
- Good experience with UI frameworks such React (ideally Next.js), Angular etc. - Docker, Kubernetes, CI/CD pipelines, SonarQube etc.
About You
- AI is how you work, not a side interest
- Comfortable operating in R&D and early-stage environments
- Strong communicator who can explain AI concepts well
- Passionate about developer experience, code quality, and innovation
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:
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
Software Engineer II
Mastercard Foundry R&D is seeking a Software Engineer II who is AI-native by default. This role is for an engineer who uses AI in every aspect of daily work- coding, design, planning, reviews, and ideation.
You will contribute to the development of innovative solutions, focusing on new product ideation, concept creation, and presenting solutions to various stakeholders. As a collaborative team member, you will leverage advanced AI tools and methodologies to accelerate innovation and bring products to market more rapidly, working closely with colleagues to drive impactful outcomes across Foundry and the wider Mastercard organisation.
Role & Responsibilities
- Work AI-first across the full SDLC: coding, design, planning, reviews, and innovation - Design and build Agentic AI systems (multi-agent workflows, tool-using agents, orchestration)
- Apply and evolve emerging standards such as AGENTS.md, MCP, and SKILLS
- Evaluate and select AI models with clear understanding of trade-offs (cost, latency, reliability, capability)
- Help build scalable, production-ready software and integrations
- Stay current with AI market trends, frameworks, and emerging technologies
Required Experience
- Strong understanding of MCP, AGENTS.md, SKILLS, tool-calling patterns
- Experience with modern AI tooling such as:
- GitHub Copilot
- Claude (UI, CLI, Claude Code)
- OpenAI / Codex-style tooling
Software Engineering
- Good experience with RESTful APIs, Web standards and related security principles.
- Java (JDK 21+ / Spring Boot)
- Good experience with UI frameworks such React (ideally Next.js), Angular etc. - Docker, Kubernetes, CI/CD pipelines, SonarQube etc.
About You
- AI is how you work, not a side interest
- Comfortable operating in R&D and early-stage environments
- Strong communicator who can explain AI concepts well
- Passionate about developer experience, code quality, and innovation
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.
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Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
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