Find Reliability engineer foundation Jobs in Dublin 8, D

Lead DevOps Engineer – AI & Data (Foundation Models)
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- AWS
5d
Principal Cloud & Kubernetes Engineer
InterSystems —Dublin, County Dublin
- Azure
- DevOps
- AWS
Cloud Platform Engineer
Accenture —Dublin, County Dublin
- Full-time
- DevOps
- AWS
- Python
Senior Cloud & Kubernetes Engineer
InterSystems —Dublin, County Dublin
- Azure
- DevOps
- AWS
Business Development Rep (AI Cloud)
Featherless AI —Dublin, County Dublin
- Full-time
- Remote
- Sales
- English
- Business development
Technical Support Engineer - Premium Accounts, Weekend Coverage
Harvey —Dublin, County Dublin
- Weekend availability
- Remote
- AI
- Communication skills
6d
Senior Data Engineer — Lab Data Pipelines & Data Mesh
AstraZeneca —Dublin, County Dublin
- Computer Science
- Engineering
- Master's degree
9d
Director of AI Engineering
Mastercard —Dublin, County Dublin
- Full-time
- AI
- Communication skills
- Python
Director of Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- DevOps
Staff Product Manager - AI - 100% Remote - EMEA
Hostaway —Dublin, County Dublin
- Full-time
- Remote
- Bachelor's degree
- Product management
- Annual leave
- Work from home
Quick apply
Sales Development Lead - Europe
ElevenLabs —Dublin, County Dublin
- Full-time
- Remote
- Management
- Sales
- Business development
6d
Founding Full-Stack (Flutter and Java) Engineer
Grand Intelligence —Dublin, County Dublin
- Full-time
- Hybrid work
- Java
- AWS
- AI
Quick apply
Staff Engineer
Rain Technologies Inc. —Dublin, County Dublin
- Full-time
- Remote
- Azure
- System design
- SQL
Quick apply
Senior Software Engineer - Core Team
Userpilot —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- AWS
- Communication skills
Quick apply
Field Service Engineer
Mercury Hampton Ltd —Dublin, County Dublin
- €60,000–€65,000 a year
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Quick apply
Engineer II, Field Service
ASM International —Lucan, County Dublin
- Full-time
- Engineering
- Maintenance
- Master's degree
Staff Engineer
Seapoint —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- AWS
Quick apply
Sr. Software Eng, Data Platforms
eBay Inc. —Dublin, County Dublin
- Full-time
- System design
- Java
- AI
Director, Web Platform & Technology
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- AWS
- Agile
11d
Software Development Technical Lead
DOCOsoft —Clonskeagh, County Dublin
- Full-time
- Hybrid work
- Azure
- System design
- Mentoring
- Annual leave
Quick apply

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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

reliability engineer foundation jobs in dublin 8, d

Lead DevOps Engineer – AI & Data (Foundation Models)

Principal Cloud & Kubernetes Engineer

Cloud Platform Engineer

Senior Cloud & Kubernetes Engineer

Business Development Rep (AI Cloud)

Technical Support Engineer - Premium Accounts, Weekend Coverage

Senior Data Engineer — Lab Data Pipelines & Data Mesh

Director of AI Engineering

Director of Software Engineering

Staff Product Manager - AI - 100% Remote - EMEA

Sales Development Lead - Europe

Founding Full-Stack (Flutter and Java) Engineer

Staff Engineer

Senior Software Engineer - Core Team

Field Service Engineer

Engineer II, Field Service

Staff Engineer

Sr. Software Eng, Data Platforms

Director, Web Platform & Technology

Software Development Technical Lead

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