Find Lead software engineer python Jobs in Dundrum, D

AI Infrastructure Architect
Accenture —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
1d
Graduate Test Engineer -12 Month Fixed Term Contract Dublin/Wexford
Zurich Insurance —Dublin, County Dublin
- Part-time
- Java
- Analysis skills
- Python
11h
Lead Platform Engineer New
Kohlberg Kravis Roberts & Co. —Dublin, County Dublin
- Computer Science
- DevOps
- Engineering
1h

Other jobs to consider

Find your next job by exploring related positions.

Service Operations Manager
Ideal Fire Ltd —Park West, County Dublin
Proficiency in Microsoft Office and operational software systems (e.g., ERP tools). The Service Operations Manager will own the day-to-day performance of our…
Quick apply
12d
Team Lead, Short-Term Mine Design
Boliden —Navan, County Meath
Reporting to the Mine Planning & Scheduling Team Lead, this role is responsible for leading the short-term mine design function, ensuring the safe, practical,…
7d

I want to receive the latest job alerts for lead software engineer python in dundrum, d

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

lead software engineer python jobs near dundrum, d

Test Engineer jobs in Dublin, County Dublin

Platform Engineer jobs in Dublin, County Dublin

Engineer jobs in Cork, County Cork

R&d Engineer New jobs in Galway, County Galway

Test Engineer jobs in Galway, County Galway

Test Engineer jobs in County Meath

Test Engineer jobs in Cork, County Cork

Platform Engineer jobs in Remote

Platform Engineer jobs in Dublin 16, County Dublin

Technical Support Engineer jobs in Dublin, County Dublin

Software Engineer jobs in Waterford, County Waterford

Platform Engineer jobs in Limerick, County Limerick

Architect, Internship jobs in Dublin, County Dublin

Software Architect jobs in Galway, County Galway

AI Infrastructure Architect

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
1 day ago

Qualifications

CI/CD
Computer Science
Kubernetes
Engineering
Java
C++
Docker
Bachelor's degree
Computer Engineering
Apache
AI
Communication skills
Python

Full job description

YOU ARE

As a hands-on Infrastructure Architect, you are an experienced engineer with several years in infrastructure engineering who now takes on more complex, higher-impact work designing and optimizing the AI and machine learning infrastructure that powers real-world applications. Working alongside senior architects and engineers — and increasingly leading your own workstreams — you apply proven skills in coding, testing, configuring, deploying, monitoring, and troubleshooting AI systems and the infrastructure they run on. Day to day, you architect and optimize infrastructure components, write and review code and deployment scripts, design and tune cloud and on-premises compute resources such as GPU clusters and distributed training environments, deploy AI systems and models into production, and build and optimize data pipelines that feed AI and ML workflows. You optimize the computational stack for performance, cost, power, and scalability, monitor AI systems and infrastructure health across both InfraOps and MLOps disciplines, perform AI monitoring to track model and system performance, and independently troubleshoot and resolve complex issues across the stack. You also mentor junior engineers, contribute to architectural decisions, and help establish best practices. This is a hands-on, ownership-driven where you apply and deepen your expertise across modern tools and platforms — including container orchestration, model serving, CI/CD pipelines, InfraOps, MLOps, and AI monitoring — while making meaningful contributions to infrastructure that enables AI-driven business outcomes.

THE WORK

Write, review, and debug code, scripts, and infrastructure-as-code for AI infrastructure, automation, and tooling, setting standards for quality across the team.

Architect, configure, and provision compute resources across cloud and on-premises environments, including GPU clusters and distributed training setups, optimizing for performance and utilization.

Design and maintain deployment automation and CI/CD pipelines to support reliable, repeatable releases of AI systems, models, and applications.

Deploy AI systems, models, and data pipelines into production, defining and improving the processes and best practices others follow.

Lead container orchestration and model serving using tools such as Docker, Kubernetes, and model deployment frameworks.

Architect and optimize the computational stack for performance, power, cost, and scalability, balancing trade-offs against business goals.

Evaluate and select tools, frameworks, and platforms, making recommendations that shape the infrastructure roadmap.

Integrate AI models and systems into existing enterprise systems, ensuring interoperability, security, and regulatory compliance.

Own AI monitoring and infrastructure health across InfraOps and MLOps, tracking performance, reliability, and utilization, and driving remediation.

Independently troubleshoot and resolve complex issues across the computational stack — hardware, networking, software, and models — and lead root-cause analysis.

Mentor junior engineers and lead code reviews, providing technical direction and supporting their growth.

Define and document architecture standards, processes, and procedures, and apply security, cost-efficiency, and scalability best practices across the infrastructure.

EDUCATION

- Bachelor's Degree in Computer Science, Computer Engineering, related Engineering field

BASIC (REQUIRED) QUALIFICATION

Practical experience in coding, building, monitoring, troubleshooting applications of AI/ML models; selecting, designing and infrastructure for deploying and running them on premise or on public cloud.

Strong understanding of AI and machine learning as a subject.

Strong understanding of computing infrastructure a subject, preferred knowledge of AI infrastructure.

Proficiency in programming languages such as Python, Java, or C++.

Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow).

Strong problem-solving skills and ability to work in a fast-paced environment.

Excellent communication and collaboration skills.

Proven experience in AI/ML infrastructure engineering or related roles on a hyperscaler platform for deploying large scale solutions.

Apply Now

Refine Your Search

lead software engineer python jobs in dundrum, d

AI Infrastructure Architect

Graduate Test Engineer -12 Month Fixed Term Contract Dublin/Wexford

Lead Platform Engineer New

Other jobs to consider

I want to receive the latest job alerts for lead software engineer python in dundrum, d

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected