Find Devops engineer Jobs in Dunboyne, Mh

Lead DevOps Engineer – AI & Data (Foundation Models)
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- AWS
3d
Forward Deployed Engineer III, Google Cloud Consulting (German, French)
Google —Dublin, County Dublin
- €100,000–€103,000 a year
- Full-time
- Spanish
- Doctoral degree
- Computer Science
23h
AI Business Analyst
Deloitte —Dublin, County Dublin
- €55,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- Bachelor's degree
1d
Senior Software Engineer - Python (Hybrid)
Nitro —Dublin, County Dublin
- Azure
- DevOps
- Master's degree
- Work from home
Quick apply
Senior Full Stack Engineer
The Irish Times —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- AWS
- JavaScript
- Gym membership
Quick apply
14d
Senior Engineer
AccountsIQ —Dublin, County Dublin
- Hybrid work
- Azure
- Computer Science
- DevOps
- Annual leave
Quick apply
8d
Cloud Security Analyst
LTM —Dublin, County Dublin
- Azure
- AWS
- Scripting
Quick apply
Lead Infrastructure Engineer (Workplace Solutions)
JPMorganChase —Dublin, County Dublin
- Full-time
- Azure
- Windows
- Java
13h
Lead Program Security Engineer
Mastercard —Dublin, County Dublin
- Full-time
- DevOps
- AI
- Leadership
Staff Software Engineer
Medserv —Dundrum, County Dublin
- €110,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- Master's degree
- Annual leave
- Employee assistance program
Quick apply
8d
Senior Software Engineer - SAP Commerce Cloud
Henry Schein Ireland —Dublin, County Dublin
- Full-time
- Computer Science
- Sales
- Bachelor's degree
Advisory Presales Solution Consultant - Ireland
ServiceNow —DUBLIN 2, County Dublin
- Full-time
- Sales
- Marketing
- English
Quick apply
Senior Software Engineer - Commerce Hub
Fiserv —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AWS
10d
Power Platform Functional Consultant
Spanish Point Technologies —Clontarf, County Dublin
- Spanish
- Azure
- DevOps
Engineering Manager
Cylynt —Dublin, County Dublin
- Full-time
- Remote
- Oracle
- Agile
- Python
Quick apply
Lead Security Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- DevOps
- AWS
- Analysis skills
13h
AI/ML Computational Science
Accenture —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Java
22h
Practice Lead - Data Science_ ML
Infosys —Dublin, County Dublin
- Azure
- Doctoral degree
- Marketing
Lead, Cloud Operations Engineering
MongoDB —Dublin, County Dublin
- On call
- Hybrid work
- Azure
- DevOps
- Java
9d
Senior Data Analyst (Investment Management)
Davy —Dublin, County Dublin
- Hybrid work
- Azure
- DevOps
- Data analysis skills
- Employee assistance program
Quick apply

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Lead DevOps Engineer – AI & Data (Foundation Models)

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time
3 days ago

Qualifications

CI/CD
Azure
Kubernetes
DevOps
Google Cloud Platform
AWS
Docker
Continuous improvement
Terraform
AI

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

Lead DevOps Engineer – AI & Data (Foundation Models)

Overview
Mastercard is seeking a DevOps Engineer to support a strategic AI engineering team focused on foundation model development and AI use case delivery. This role is responsible for enabling reliable, scalable, and automated deployment of AI systems—ensuring models and supporting services can move efficiently from development to production.
You will work closely with AI engineers, data engineers, and software engineers to build and maintain the CI/CD pipelines, cloud infrastructure, and runtime environments required to support production AI workloads. This role is critical in ensuring that AI solutions are delivered with strong standards for reliability, security, and operational excellence.

Role
In this role, you will be responsible for building and operating the infrastructure and deployment pipelines that enable AI systems at scale.
Key responsibilities include:

Design and maintain CI/CD pipelines for AI and data workloads, supporting model training, testing, and deployment
Automate build, deployment, and release processes across environments, ensuring consistency and reliability
Manage and optimise cloud infrastructure (primarily AWS, with flexibility across cloud platforms) to support AI and data workloads
Support deployment and operation of AI models, including inference services, batch jobs, and data pipelines
Collaborate with data and AI engineers to streamline development-to-production workflows, reducing friction and cycle time
Implement monitoring, logging, and alerting to ensure system observability and rapid issue resolution
Ensure systems are designed for high availability, resilience, and performance
Embed security best practices into deployment pipelines, including secrets management, access control, and secure configuration
Support Databricks environments and workflows where applicable, including job orchestration and integration with data pipelines
Contribute to troubleshooting production issues and participating in incident response and post‑incident improvements
Promote DevOps best practices, including infrastructure as code, automation, and continuous improvement

All About You
5-8 years of experience in a DevOps, platform engineering, or similar role supporting production systems
Strong experience building and maintaining CI/CD pipelines in production environments
Hands‑on experience with cloud platforms, particularly AWS (experience with Azure or GCP also valuable)
Experience with infrastructure as code tools (e.g. Terraform, CloudFormation, or similar)
Familiarity with containerisation and orchestration (e.g. Docker, Kubernetes)
Experience supporting data and AI workloads, including model deployment pipelines, batch processing, or streaming jobs
Working knowledge of monitoring and observability tools (e.g. logging, metrics, tracing)
Experience with Databricks or similar data platforms is a strong plus
Strong understanding of software delivery practices, version control, and automated testing
Familiarity with security best practices in cloud and CI/CD environments (e.g. secrets management, IAM, least privilege access)
Strong problem‑solving skills and ability to work in a collaborative, fast‑moving environment
Clear communicator, able to work effectively with engineering, data, and platform teams

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 jobs in dunboyne, mh

Lead DevOps Engineer – AI & Data (Foundation Models)

Forward Deployed Engineer III, Google Cloud Consulting (German, French)

AI Business Analyst

Senior Software Engineer - Python (Hybrid)

Senior Full Stack Engineer

Senior Engineer

Cloud Security Analyst

Lead Infrastructure Engineer (Workplace Solutions)

Lead Program Security Engineer

Staff Software Engineer

Senior Software Engineer - SAP Commerce Cloud

Advisory Presales Solution Consultant - Ireland

Senior Software Engineer - Commerce Hub

Power Platform Functional Consultant

Engineering Manager

Lead Security Engineer

AI/ML Computational Science

Practice Lead - Data Science_ ML

Lead, Cloud Operations Engineering

Senior Data Analyst (Investment Management)

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