Find Lead software engineer (devops) Jobs in South Dublin County Dublin

Lead AI Platform Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- DevOps
1h
Site Reliability Engineering Technical Lead
AMCS Group —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
Lead Infrastructure Engineer (Workplace Solutions)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Windows
- Java
5d
Staff Site Reliability Engineer
Replit —Dublin, County Dublin
- Full-time
- Remote
- Mentoring
- Communication skills
- Python
- Life insurance
Lead Cloud Engineer
Elwood Roberts —Dublin, County Dublin
- €400–€450 a day
- Full-time
- DevOps
- AWS
- Agile
Quick apply
FS Technology Consulting - Senior Solution Architect - Senior Manager/Director - Dublin
EY —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Engineering
- Gym membership
13d
Lead Software Engineer (DevOps)
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- DevOps
Lead Test Automation Engineer
FDM Group —Dublin, County Dublin
- Azure
- Computer Science
- DevOps
- Annual leave
Technical Lead - Commerce Hub
Fiserv —Dublin, County Dublin
- Full-time
- DevOps
- Java
- AWS
Software Engineering Team Lead
M-KOPA —Dublin, County Dublin
- Full-time
- Remote
- Azure
- AWS
- Mentoring
3d
Application Support Engineer
Millennium Management —Dublin, County Dublin
- Computer Science
- Java
- AWS
Senior Site Reliability Engineer
Replit —Dublin, County Dublin
- Full-time
- Remote
- Communication skills
- Python
- Life insurance
Lead QA Engineer
iCims —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- JavaScript
- Annual leave
- Life insurance
Data Analytics and AI Team Lead
Spanish Point Technologies —Clontarf, County Dublin
- Spanish
- Azure
- Computer Science
Senior Cloud Engineer
Canada Life Group Services —Dublin, County Dublin
- Azure
- DevOps
- English
7d
Senior Cloud Networking Manager
eBay Inc. —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Senior Software Development Engineer
Solventum —Dublin, County Dublin
- Full-time
- Hybrid work
- DevOps
- SQL
- AWS
- Relocation assistance
Senior Software Engineer
Semperis —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Cloud Security Architect
Ekco —Dublin, County Dublin
- Hybrid work
- Microsoft Access
- Azure
- DevOps
- Annual leave
- Employee assistance program
Quick apply
7d
Senior Full-Stack Developer
Citi —Dublin, County Dublin
- €71,440–€107,160 a year
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Java

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Lead AI Platform Engineer

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time
1 hour ago

Qualifications

CI/CD
Azure
Computer Science
Software Engineering
Kubernetes
DevOps
Engineering
Google Cloud Platform
Master's degree
AWS
Docker
Bachelor's degree
Mentoring
Computer Engineering
AI
Leadership
Communication skills
Python

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 AI Platform Engineer

Overview

As a Lead AI Platform Engineer within Mastercard's AI Center of Excellence, you will lead the design, development, and evolution of the enterprise AI platform that enables teams to build, deploy, and operate AI and Generative AI solutions at scale. You will combine deep technical expertise with engineering leadership, managing a team of AI Engineers while establishing the platform capabilities, standards, and operational practices that accelerate AI adoption across the enterprise

You will partner with Enterprise Architecture, Cloud Engineering, Data Engineering, Security, Product Management, and Data Science teams to deliver a secure, scalable, and reusable AI ecosystem supporting the full AI lifecycle from experimentation through production

Key Responsibilities

Lead the design and evolution of Mastercard's enterprise AI platform, providing reusable services, tools, and frameworks that accelerate AI solution delivery
Manage and mentor a team of AI Engineers, providing technical guidance, coaching, performance feedback, and career development
Define the technical roadmap for AI platform capabilities, ensuring alignment with business priorities and enterprise technology strategy
Build and maintain shared AI services including model serving, inference APIs, feature stores, vector databases, prompt management, AI gateways, model registries, and developer self-service capabilities
Establish enterprise standards for MLOps and LLMOps, including CI/CD, model lifecycle management, observability, evaluation, governance, security, and automated deployment
Design cloud-native AI infrastructure using Kubernetes, containers, infrastructure as code, microservices, and event-driven architectures
Ensure the AI platform delivers high availability, scalability, resilience, performance, and cost optimization for enterprise workloads
Partner with AI Engineers and Data Scientists to productionize AI and Generative AI solutions, reducing time-to-market through standardized platform capabilities
Collaborate with Security, Risk, and Compliance teams to implement Responsible AI, governance, access controls, auditability, and regulatory requirements
Drive platform reliability through monitoring, incident management, capacity planning, disaster recovery, and operational excellence
Evaluate emerging AI technologies and integrate new platform capabilities that improve developer productivity and enterprise AI adoption
Foster engineering excellence by promoting software engineering best practices, automation, documentation, and continuous improvement across the AI engineering organization

Required Qualifications

Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
Extensive experience designing and operating enterprise software platforms, cloud-native applications, or AI/ML platforms.
Experience leading and mentoring engineering teams in an enterprise environment.
Strong software engineering skills using Python
Deep expertise with Kubernetes, Docker, APIs, microservices, Infrastructure as Code, and cloud platforms including AWS, Azure, or Google Cloud Platform
Experience building and operating AI/ML platforms, MLOps, or AgenticOps capabilities supporting production AI workloads
Experience with modern AI technologies including LLMs, RAG, vector databases, model serving frameworks, and AI orchestration platforms
Strong understanding of platform engineering principles, DevOps, CI/CD, observability, reliability engineering, and automation
Experience implementing security, governance, and compliance controls within enterprise technology platforms
Excellent communication, stakeholder management, and leadership skills

What You'll Deliver

A secure, scalable, and enterprise-ready AI platform that enables rapid development and deployment of AI and Generative AI solutions
High-performing AI engineering teams that consistently deliver production-quality solutions using standardized platform capabilities
Enterprise AI engineering practices that improve developer productivity, operational excellence, governance, and platform reliability
Strategic platform capabilities that accelerate AI innovation while ensuring security, compliance, scalability, and long-term maintainability across Mastercard

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

lead software engineer (devops) jobs in south dublin county dublin

Lead AI Platform Engineer

Site Reliability Engineering Technical Lead

Lead Infrastructure Engineer (Workplace Solutions)

Staff Site Reliability Engineer

Lead Cloud Engineer

FS Technology Consulting - Senior Solution Architect - Senior Manager/Director - Dublin

Lead Software Engineer (DevOps)

Lead Test Automation Engineer

Technical Lead - Commerce Hub

Software Engineering Team Lead

Application Support Engineer

Senior Site Reliability Engineer

Lead QA Engineer

Data Analytics and AI Team Lead

Senior Cloud Engineer

Senior Cloud Networking Manager

Senior Software Development Engineer

Senior Software Engineer

Cloud Security Architect

Senior Full-Stack Developer

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