Senior Software Engineer

AI in this role

Build agentic AI systems and work AI-first across the full SDLC in Mastercard Foundry R&D.

openaiclaudecopilotclaude-codecodexgithub-copilotjavaspring-bootpythonreactnext-jsdocker+3

ai-nativesdlcagentic-aimulti-agent-workflowsrestful-apisci-cd

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

Senior Software Engineer

Mastercard Foundry R&D is seeking a Senior Software Engineer 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)
- Build scalable, production-ready software and integrations
- Act as an AI Developer Advocate:
- Deliver demos, thought leadership, and workshops
- Present to engineering leadership and C-suite audiences
- 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

- Expert experience with RESTful APIs, Web standards and related security principles.
- Java (JDK 17+ / Spring Boot), Python, Shell scripting
- Strong experience with UI frameworks such React (ideally Next.js), Angular etc. - Docker, Kubernetes, CI/CD pipelines, SonarQube, Prisma

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 to engineers and executives
- Passionate about developer experience, code quality, and innovation
- Enjoys mentoring and raising the engineering bar for others

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

Senior Software Engineer 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.

Classification

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. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI NativeSdlcAgentic AIMulti Agent WorkflowsRestful ApisCi CdOpenAIClaude

Questions you could be asked

Tell me about a project where ai native 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 agentic ai was part of your work. What did you do?
Tell me about a project where multi agent workflows was part of your work. What did you do?
Tell me about a project where restful apis was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Native, Sdlc, Agentic AI, Multi Agent Workflows, and Restful 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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