Find Devops engineer decision Jobs in Dublin, D

Principal DevOps Engineer - Decision Management Platform
Mastercard —Dublin, County Dublin
- Full-time
- DevOps
- Java
- AWS
Test Automation Engineer
U.S. Bank National Association —DUBLIN 18, County Dublin
- €85,765–€100,900 a year
- Full-time
- Azure
- Java
- JavaScript
Systems Development Engineer , Enterprise Collaboration Platforms
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- System design
2d
.Net Senior Software Engineer
U.S. Bank National Association —Dublin, County Dublin
- €74,460–€87,600 a year
- Full-time
- Computer Science
- System design
- Analysis skills
Backend & DevOps Lead
Vodafone —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Java
- SQL
2d
Lead, Cloud Operations Engineering
MongoDB —Dublin, County Dublin
- On call
- Hybrid work
- Azure
- DevOps
- Java
Senior Full Stack Engineer
The Irish Times —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- AWS
- JavaScript
- Gym membership
Quick apply
Principal Architect (Remote – Ireland)
Hadfield Green —DUBLIN 2, County Dublin
- Remote
- System design
- Java
- Leadership
Senior Full Stack Developer (Angular / .NET)
Version 1 —Dublin, County Dublin
- €60,000–€75,000 a year
- Full-time
- Hybrid work
- Azure
- Oracle
- AWS
- Employee assistance program
- Employee discount
Quick apply
Data Platform Engineer
Verifone —Dublin, County Dublin
- On call
- Hybrid work
- DevOps
- AWS
- Scripting
Quick apply
Senior Software Engineer / Web Developer (AEM)
PlayStation Global —Dublin, County Dublin
- €87,800–€131,800 a year
- Computer Science
- Java
- Master's degree
Quick apply
Engineering Manager
Cylynt —Dublin, County Dublin
- Full-time
- Remote
- Oracle
- Agile
- Python
Quick apply
Senior Android Developer - Nenagh based
Expleo —Dublin, County Dublin
- Azure
- Computer Science
- Java
Manager, Architecture & Components
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
3d
Director, SAP Commerce Cloud Operations
Henry Schein Ireland —Dublin, County Dublin
- Full-time
- Management
- Computer Science
- DevOps
Sales Development Representative, Enterprise Platforms
DoiT —Dublin, County Dublin
- Remote
- Azure
- DevOps
- English
Quick apply
Software Development Technical Lead
DOCOsoft —Clonskeagh, County Dublin
- Full-time
- Hybrid work
- Azure
- System design
- Mentoring
- Annual leave
Quick apply
Java Technical Lead
Elwood Roberts —Dublin, County Dublin
- €80,000–€90,000 a month
- Full-time
- Java
- AWS
- Leadership
Quick apply
AI Architect (R-18541)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Annual leave
Quick apply
AI Azure Architect, Manager - Data & AI
PwC —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS

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Principal DevOps Engineer - Decision Management Platform

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

CI/CD
Kubernetes
DevOps
Java
Bash (Unix shell)
AWS
Docker
Distributed systems
Terraform
Splunk
Scripting
GitHub
Linux
Leadership
Jenkins
Communication skills
Python

Full job description

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 Platform

Overview

Join 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.

Apply Now

Refine Your Search

devops engineer decision jobs in dublin, d

Principal DevOps Engineer - Decision Management Platform

Test Automation Engineer

Systems Development Engineer , Enterprise Collaboration Platforms

.Net Senior Software Engineer

Backend & DevOps Lead

Lead, Cloud Operations Engineering

Senior Full Stack Engineer

Principal Architect (Remote – Ireland)

Senior Full Stack Developer (Angular / .NET)

Data Platform Engineer

Senior Software Engineer / Web Developer (AEM)

Engineering Manager

Senior Android Developer - Nenagh based

Manager, Architecture & Components

Director, SAP Commerce Cloud Operations

Sales Development Representative, Enterprise Platforms

Software Development Technical Lead

Java Technical Lead

AI Architect (R-18541)

AI Azure Architect, Manager - Data & AI

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