Find Software engineer integrations & partnerships Jobs in Dublin, D

Lead DevOps Engineer – AI & Data (Foundation Models)
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- AWS
3d
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
Site Reliability Engineer III (DSS)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Oracle
- Java
3d
Head of Architecture and Engineering Operations
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Computer Science
Lead Engineer - AI Agents
M-KOPA —Dublin, County Dublin
- Full-time
- Remote
- AI
- Leadership
9d
Senior Lead SRE (DSS)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Oracle
- Java
3d
Senior Manager of SRE
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Oracle
- Java
7d
Director, Game Science & Insights
2K —Dublin, County Dublin
- Computer Science
- SQL
- Project management
Quick apply
9d
Manager, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Engineering Manager
Ethyca —Dublin, County Dublin
- Full-time
- AWS
- AI
- Leadership
Quick apply
Engineering Manager, AI Models Infrastructure
Intercom —Dublin, County Dublin
- Hybrid work
- AI
- Communication skills
- Annual leave
- Work from home
Cyber Security Architect
Eirgrid —Dublin, County Dublin
- Azure
- Computer Science
- Bachelor's degree
Quick apply
Senior Product Manager – Reporting & Visualisation
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- Research
- AI
- Leadership
Senior Estimator
IPS-Integrated Project Services —DUBLIN 12, County Dublin
- Full-time
- Microsoft Excel
- Engineering
- Analysis skills
Account Manager (Commercial)
Intercom —Dublin, County Dublin
- Hybrid work
- Sales
- Business development
- AI
- Annual leave
- Work from home
Senior Cloud Networking Manager
eBay Inc. —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Senior Machine Learning Scientist
Intercom —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Research
- Master's degree
- Annual leave
- Work from home
Director of AI Engineering
Mastercard —Dublin, County Dublin
- Full-time
- AI
- Communication skills
- Python
Commissioning Engineer
Thermo Systems LLC —Dublin, County Dublin
- Full-time
- Software troubleshooting
- No degree
- In-person
Quick apply
CQV Engineer
IPS-Integrated Project Services —DUBLIN 12, County Dublin
- Full-time
- Engineering
- Bachelor's degree

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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

software engineer integrations & partnerships jobs in dublin, d

Lead DevOps Engineer – AI & Data (Foundation Models)

Senior Full Stack Developer (Angular / .NET)

Site Reliability Engineer III (DSS)

Head of Architecture and Engineering Operations

Lead Engineer - AI Agents

Senior Lead SRE (DSS)

Senior Manager of SRE

Director, Game Science & Insights

Manager, Software Engineering

Engineering Manager

Engineering Manager, AI Models Infrastructure

Cyber Security Architect

Senior Product Manager – Reporting & Visualisation

Senior Estimator

Account Manager (Commercial)

Senior Cloud Networking Manager

Senior Machine Learning Scientist

Director of AI Engineering

Commissioning Engineer

CQV Engineer

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