MastercardPrincipal DevOps Engineer - Decision Management Platform
Mastercard is hiring a Principal DevOps Engineer - Decision Management Platform in Dublin, Ireland. Level rates it ; you can apply on Mastercard.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Terraform, Cloudformation and Prometheus.
- Level classifies it as a lead role.
- Level lists 1,100+ other open roles at Mastercard.
AI in this role
Architect and manage public and on-prem cloud infrastructure and CI/CD pipelines for Mastercard's real-time decision platform.
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 DevOps Engineer - Decision Management PlatformOverviewJoin Mastercard’s Services Technology organization as a DevOps Principal Engineer for the Decision Management Program (DMP)—a patented, real-time decisioning platform that powers fraud prevention, risk scoring, and identity verification across the global payments network. The platform processes billions of transactions each month, consistently delivering results in milliseconds to support mission critical business solutions.
Role
In this role you will design systems to enable deployment and management of critical high-volume, low-latency financial systems into public and private cloud environments. You will work with global engineering teams to drive DevOps initiatives across the platform utilizing a highly scalable architecture leveraging In-Memory data grids and real time processing technologies.
This is a unique opportunity to shape the future of Mastercard’s decisioning ecosystem—advancing innovative, high‑performance solutions and driving engineering and operational excellence across a critical real‑time platform
• Architect, provision, and manage public and on-prem cloud infrastructure, including containerized and virtualized systems
• Design, build, and optimize CI/CD pipelines to enable fast, safe, and repeatable delivery of complex distributed systems across a global network of data centres.
• Collaborate cross-functionally with R&D teams to design scalable systems, troubleshoot complex issues, and support new product initiatives.
• Champion Infrastructure as Code principles using tools like Terraform and CloudFormation.
• Drive observability and reliability through monitoring, logging, and alerting systems (Prometheus, Grafana, Druid, Splunk etc.).
• Foster innovation and continuous improvement, adopting new tools and practices to increase efficiency, scalability, and cost optimization.
• Contribute to hands-on coding and automation efforts when needed — lead by example.
• Partner with stakeholders to align DevOps initiatives with business objectives, including uptime, deployment velocity, and cost efficiency.
All About You
• 8+ years of experience in Software Engineering and DevOps roles, including at least 2 years in a technical leadership capacity.
• Strong Linux systems administration background
• Deep familiarity with AWS cloud environments.
• Proven experience with container orchestration and tooling (Kubernetes, Helm, Docker Compose).
• Hands-on experience with infrastructure-as-code (Terraform, CloudFormation).
• Strong understanding of CI/CD pipelines (GitHub Actions, Jenkins, XLR etc.).
• Proficient in scripting and programming (Bash, Python, Java).
• Experience with monitoring and observability platforms (Prometheus, Grafana, Druid, Splunk, Loki).
• Excellent communication skills and the ability to work effectively with Developers, QE, Operations and support teams.
• Experience with FinOps or cost optimization in cloud environments
• Demonstrated ownership mindset, prioritization skills, and ability to thrive in a fast-paced, multi-tasking environment.
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
Principal DevOps Engineer - Decision Management Platform at Mastercard rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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 devops was part of your work. What did you do?
- Tell me about a project where cloud infrastructure 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?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where observability was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: DevOps, Cloud Infrastructure, CI/CD, Distributed Systems, and Observability. 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.
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