Find Lead devops Jobs in Sandyford County Dublin

Lead AI Platform Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- DevOps
1h
Product Manager
Information Services Corporation —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
Data Governance & Quality Associate
PwC —Dublin, County Dublin
- Full-time
- Azure
- Business
- Communication skills
Sr Mgr, Database Engrg Mgmt
ServiceNow —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Management
- Analysis skills
- Bachelor's degree
Quick apply
4d
Client Engagement & Operations Lead
Capgemini —Dublin, County Dublin
- Microsoft Powerpoint
- Microsoft Excel
- Microsoft Office
Client Engagement & Operations Lead
Sogeti —Dublin, County Dublin
- Microsoft Powerpoint
- Microsoft Excel
- Microsoft Office
Escalation Manager
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- DevOps
- AWS
Site Migration Project Manager
Capgemini Sogeti —Dublin, County Dublin
- Microsoft Excel
- Project management
- Communication skills
5d
Sr Software Engineer - SAP Commerce Cloud
Henry Schein Ireland —Dublin, County Dublin
- Full-time
- Computer Science
- DevOps
- Java
Lead/Senior Microsoft Fabric BI Architect - contract
TEKenable —Dublin, County Dublin
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
Lead Test Automation Engineer
FDM Group —Dublin, County Dublin
- Azure
- Computer Science
- DevOps
- Annual leave
Lead Cloud Engineer
Elwood Roberts —Dublin, County Dublin
- €400–€450 a day
- Full-time
- DevOps
- AWS
- Agile
Quick apply
Success Architect, Marketing Cloud
Salesforce —Dublin, County Dublin
- Full-time
- Remote
- Spanish
- Salesforce
- SQL
Site Migration Project Manager
Capgemini —Dublin, County Dublin
- Microsoft Excel
- Project management
- Communication skills
5d
Client Engagement & Operations Lead
Capgemini Sogeti —Dublin, County Dublin
- Microsoft Powerpoint
- Microsoft Excel
- Microsoft Office
Head of Product Management LIMS / LIS Clinical Diagnostics
Eurofins —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Analysis skills
- Continuous improvement
Quick apply
FS Technology Consulting - AI and Data - Data Engineer - Senior Consultant - Dublin
EY —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
- Gym membership
13d
Senior Cloud Engineer/ Cloud Architect
Henry Schein Ireland —Dublin, County Dublin
- Full-time
- Azure
- AWS
Senior QA Manager - Banking
NTT Ltd —Dublin, County Dublin
- Continuous improvement
- Leadership
- Communication skills
Lead Backend Developer
Citi —Dublin, County Dublin
- €93,280 a year
- Full-time
- Hybrid work
- Azure
- Java
- Master's degree

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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 devops jobs in sandyford county dublin

Lead AI Platform Engineer

Product Manager

Data Governance & Quality Associate

Sr Mgr, Database Engrg Mgmt

Client Engagement & Operations Lead

Client Engagement & Operations Lead

Escalation Manager

Site Migration Project Manager

Sr Software Engineer - SAP Commerce Cloud

Lead/Senior Microsoft Fabric BI Architect - contract

Lead Test Automation Engineer

Lead Cloud Engineer

Success Architect, Marketing Cloud

Site Migration Project Manager

Client Engagement & Operations Lead

Head of Product Management LIMS / LIS Clinical Diagnostics

FS Technology Consulting - AI and Data - Data Engineer - Senior Consultant - Dublin

Senior Cloud Engineer/ Cloud Architect

Senior QA Manager - Banking

Lead Backend Developer

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