MastercardDirector, Software Engineering
Mastercard is hiring a Director, Software Engineering in Dublin, Ireland. Level rates it ; you can apply on Mastercard.
Level's read on this job
- On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
- Tools and skills the posting cites include software engineering, engineering leadership and sdlc.
- Level classifies it as an executive role.
- Level lists 1,100+ other open roles at Mastercard.
- The role was posted within the past two weeks.
AI in this role
Director of software engineering to lead teams and drive AI-enabled SDLC practices across platform engineering.
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
Director, Software EngineeringOverviewConsumer Data Management (CDM) enables secure, compliant, and scalable consumer identity, consent, preference, and engagement capabilities across Mastercard’s ecosystem.
We are looking for a Director, Software Engineering based in Dublin to lead engineering teams responsible for building, modernizing, and operating CDM platform capabilities. This role is focused on strong engineering leadership, AI-enabled PDLC/SDLC practices, modern delivery discipline, and building a flexible organization that can scale across platform priorities with quality, resilience, and security.
Role
• Lead engineering teams that design, build, test, release, and operate scalable, secure, and resilient CDM platform capabilities.
• Set technical direction, guide architecture decisions, and translate product priorities into clear engineering outcomes.
• Raise the quality bar across design, code quality, testing, performance, secure development, release readiness, and production support.
AI-enabled Engineering & Modern Delivery
• Drive modern PDLC/SDLC practices across planning, design, build, test, deploy, operate, and continuous improvement.
• Apply AI responsibly across the engineering lifecycle, including analysis, design, coding, testing, documentation, operations, and productivity improvement.
• Advance automation, CI/CD, observability, reusable frameworks, secure coding, performance testing, and cloud-ready engineering patterns.
Modern, Fungible Engineering Organization
• Build a flexible, fungible engineering organization with clear ownership, strong technical practices, and the ability to shift capacity across priorities.
• Develop talent across full-stack engineering, platform engineering, quality, security, operations, automation, and AI-enabled delivery.
• Create a culture of accountability, reuse, knowledge sharing, continuous learning, and evidence-based engineering decisions.
Dublin Site Leadership & Team Representation
• Represent CDM engineering within the Dublin office and contribute to local engineering culture, hiring, onboarding, and talent development.
• Connect Dublin-based teams to global CDM priorities, enterprise engineering practices, and Mastercard technology standards.
• Partner with product, architecture, security, privacy, data, and operations teams to deliver business and platform outcomes.
All About You
• Experience leading software engineering teams that build and operate mission-critical, scalable platforms.
• Strong technical depth across software design, architecture, APIs, distributed systems, data platforms, cloud-native engineering, testing, and secure development.
• Experience improving engineering maturity through automation, CI/CD, observability, incident learning, vulnerability management, and developer productivity practices.
• Hands-on familiarity with AI-enabled engineering practices across PDLC/SDLC activities.
• Strong understanding of quality gates, secure development, test automation, code review, release readiness, and production support.
• Sound judgment balancing modernization, feature delivery, technical debt, operational risk, resilience, cost, and regulatory expectations.
• Ability to develop high-performing, diverse, and flexible engineering teams in a global, matrixed environment.
• Clear communicator who can explain technology strategy, delivery progress, risks, dependencies, and trade-offs to senior leaders and engineering teams.
• Track record of coaching engineers and managers, building succession depth, raising standards, and creating an inclusive culture of ownership.
• Ability to represent the team credibly within the Dublin office and across Mastercard’s global engineering community.
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
Director, Software Engineering at Mastercard rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● 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
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 engineering leadership 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 ai enabled development was part of your work. What did you do?
- Tell me about a project where ci/cd was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Software Engineering, Engineering Leadership, Sdlc, AI Enabled Development, and CI/CD. 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.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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