MastercardSoftware Engineer II
Mastercard is hiring a Software Engineer II in Dublin, Ireland. Level rates it ; you can apply on Mastercard.
Level's read on this job
- Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
- The posting mentions OpenAI, Claude and Copilot among its tools and skills.
- Level classes it as a mid-level role.
- Mastercard has 1,100+ other open roles on Level.
- Posted in the last few days.
AI in this role
Software Engineer II role focusing on AI-first development across the full SDLC, building agentic AI systems and leveraging modern AI tooling.
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 IIMastercard 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.
How we rate this
Software Engineer II at Mastercard rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where ai native was part of your work. What did you do?
- Tell me about a project where agentic ai was part of your work. What did you do?
- Tell me about a project where sdlc was part of your work. What did you do?
- Tell me about a project where rest apis was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Software Engineering, AI Native, Agentic AI, Sdlc, and REST APIs. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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