Find Devops engineer Jobs in Dunboyne, Mh

Lead DevOps Engineer – AI & Data (Foundation Models)
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- AWS
5d
AI/ML Computational Science
Accenture —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Java
2d
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
2d
AI Business Analyst
Deloitte —Dublin, County Dublin
- €55,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- Bachelor's degree
2d
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- Data analysis skills
7d
Lead QA Engineer
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- JavaScript
- Annual leave
- Life insurance
5d
Development Lead - Payments
Accenture —Dublin, County Dublin
- Full-time
- Oracle
- Java
- AWS
- Employee discount
7h
Client Project Manager
Openmind Networks —DUBLIN 2, County Dublin
- Project management
- Leadership
- Communication skills
Quick apply
Commercial Sales Engineer (Dublin)
Datadog —Dublin, County Dublin
- DevOps
- Windows
- Linux
- Employee stock purchase plan
Quick apply
14d
Commercial Sales Engineer (Spanish-speaking)
Datadog —Dublin, County Dublin
- Spanish
- DevOps
- English
- Employee stock purchase plan
Quick apply
2d
Cloud Platform Engineer
Grouper —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Java
- AWS
Quick apply
Data Engineer
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply
DevOps Engineering Manager
Gong.io —Dublin, County Dublin
- DevOps
- Java
- AWS
Quick apply
Technical Scrum Master
Grouper —Dublin, County Dublin
- Hybrid work
- Management
- DevOps
- Project management
Quick apply
Senior Software Engineer - Licensing Management
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
Quick apply

More jobs to discover

Find similar jobs that you might be interested in.

AI/ML Computational Science
Accenture —Dublin, County Dublin
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. Experience with the following programming languages:…
2d
Biological Structures Data Engineer I/II
Iambic Therapeutics, Inc —Dublin, County Dublin
This role centers on deep, practical fluency with structural data: .cif files, the PDB, and the work of integrating structural data from many different sources…

I want to receive the latest job alerts for devops engineer in dunboyne, mh

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

devops engineer jobs near dunboyne, mh

Commercial Sales Executive jobs in Dublin, County Dublin

Shift Leader jobs in Dublin, County Dublin

Business Analyst jobs in Dublin, County Dublin

Senior Software Engineer jobs in Dublin, County Dublin

Data Engineer jobs in Dublin, County Dublin

Ai Ml Engineer jobs in Dublin, County Dublin

Scrum Master jobs in Dublin, County Dublin

Platform Engineer jobs in Dublin, County Dublin

Devops Engineer jobs in Dublin, County Dublin

Quality Assurance Engineer jobs in South Dublin, County Dublin

Quality Control jobs in County Galway

Graduate Technical Sales jobs in Dublin, County Dublin

Part Time Sales Role jobs in Cork, County Cork

Executive Assistant Hybrid jobs in Dublin, County Dublin

Assistant Manager jobs in County Dublin

Operations Manager jobs in County Limerick

Client Manager jobs in Dublin, County Dublin

Client Manager jobs in Galway, County Galway

Part Time Manager jobs in Dublin, County Dublin

Night Shift jobs in Carlow, County Carlow

Lead DevOps Engineer – AI & Data (Foundation Models)

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time
5 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)

AI/ML Computational Science

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

AI Business Analyst

Senior Data Engineer

Lead QA Engineer

Development Lead - Payments

Client Project Manager

Commercial Sales Engineer (Dublin)

Commercial Sales Engineer (Spanish-speaking)

Cloud Platform Engineer

Data Engineer

DevOps Engineering Manager

Technical Scrum Master

Senior Software Engineer - Licensing Management

More jobs to discover

I want to receive the latest job alerts for devops engineer in dunboyne, mh

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected