Find Security engineer incident response Jobs in Dublin, D

Lead DevOps Engineer – AI & Data (Foundation Models)
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- AWS
6d
Senior Infrastructure Engineer - Dublin
Seapoint —Dublin, County Dublin
- Hybrid work
- DevOps
- AWS
- Linux
Quick apply
Cloud Platform Lead
SoftCo —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
Software Development Engineer , CADENCE Team
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- Software development
Sr. Software Development Engineer, AWS DMS
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- Java
Technical Support Engineer - Premium Accounts, Weekend Coverage
Harvey —Dublin, County Dublin
- Weekend availability
- Remote
- AI
- Communication skills
7d
Staff Network Engineer
Cadence Design Systems —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Bachelor's degree
- Employee stock purchase plan
- Life insurance
Staff Network Production Engineer, Network Ops
Crusoe —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
Quick apply
3d
Staff Site Reliability Engineer
Fivetran —Dublin, County Dublin
- Full-time
- Azure
- Java
- AWS
- Annual leave
- Sick pay
Quick apply
11d
Sr. SDE, Workforce Solutions (WS)
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Java
Lead Site Reliability Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Java
- C++
6d
Scrum Master - PL Planning
Elwood Roberts —Dublin, County Dublin
- €55,000–€65,000 a month
- Full-time
- Azure
- Computer Science
- Java
Quick apply
Network Lead
PM Group —Dublin, County Dublin
- On call
- Computer Science
- Analysis skills
- Bachelor's degree
Associate Systems Administrator
CarGurus —Dublin, County Dublin
- €38,000–€48,000 a year
- On call
- Communication skills
Principal Engineer II (Linux team)
ICON Plc —Dublin, County Dublin
- Full-time
- Engineering
- Analysis skills
- Scripting
12d
Senior Platform Engineer - Data License Plus
Bloomberg —Dublin, County Dublin
- AWS
- Scripting
- Linux
6d
Senior Software Development Engineer
Solventum —Dublin, County Dublin
- Full-time
- Hybrid work
- DevOps
- SQL
- AWS
- Relocation assistance
Software Integration Engineer
PM Group —Dublin, County Dublin
- Computer Science
- Engineering
- SQL
Electrical Capacity Install Technician , DCEO Capacity Install
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- Microsoft Office
- AWS
Senior Cloud Networking Manager
eBay Inc. —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree

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Lead DevOps Engineer – AI & Data (Foundation Models)

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time
6 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

security engineer incident response jobs in dublin, d

Lead DevOps Engineer – AI & Data (Foundation Models)

Senior Infrastructure Engineer - Dublin

Cloud Platform Lead

Software Development Engineer , CADENCE Team

Sr. Software Development Engineer, AWS DMS

Technical Support Engineer - Premium Accounts, Weekend Coverage

Staff Network Engineer

Staff Network Production Engineer, Network Ops

Staff Site Reliability Engineer

Sr. SDE, Workforce Solutions (WS)

Lead Site Reliability Engineer

Scrum Master - PL Planning

Network Lead

Associate Systems Administrator

Principal Engineer II (Linux team)

Senior Platform Engineer - Data License Plus

Senior Software Development Engineer

Software Integration Engineer

Electrical Capacity Install Technician , DCEO Capacity Install

Senior Cloud Networking Manager

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