Find Learning hardware Jobs in Dublin, D

Infrastructure Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- AI
- Leadership
AI Research Engineer (Multi-Modal Reinforcement Learning) - 100% Remote Worldwide
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Health and Safety Manager , Data Center Health and Safety
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Microsoft Excel
- SQL
- AWS
AI Research Engineer (Agentic Post-training) - 100% Remote Worldwide
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Staff Software Engineer, Inference
Anthropic —Dublin, County Dublin
- €295,000–€355,000 a year
- Master's degree
- AWS
- Bachelor's degree
Material Handler
Curtiss-Wright —Dublin, County Dublin
- €29,000–€41,800 a year
- Full-time
- Employee stock purchase plan
- Annual leave
Recovery Specialist, Value Recovery
Re:Cycle Reverse Logistics Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Bachelor's degree
- Manufacturing
People Technology Platform Engineer (Workday)
PlayStation Global —Dublin, County Dublin
- €50,000–€83,000 a year
- System design
- Agile
Quick apply
1d
Software Development Engineer, ML Navigators
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Java
8d
Module Process Engineer (CMP)
Applied Materials —Leixlip, County Kildare
- €60,000–€82,500 a year
- Full-time
- Engineering
- Bachelor's degree
- In-person
Sr. Technical Program Manager, AWS Manufacturing Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- AWS
Module Process Engineer (MDP)
Applied Materials —Leixlip, County Kildare
- €60,000–€82,500 a year
- Full-time
- Engineering
- Bachelor's degree
- In-person
Development Manager
Sentrium —Dublin, County Dublin
- Remote
- Team management
- AI
- Leadership
- Annual leave
AI Inference Engineer QVAC (100% remote Worldwide)
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Computer Science
- English
- Research
Module Process Engineer (ALD)
Applied Materials —Leixlip, County Kildare
- €48,000–€66,000 a year
- Full-time
- Engineering
- Bachelor's degree
- In-person
Data Center Facility Manager, Operation, IT and support Engineering
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Bachelor's degree
- Electrical Engineering
Capacity Planning Manager, CDP EMEA
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Leadership
- Analytics
Optical Deployment Engineer
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
New Product Introduction (NPI) Coordinator, Value Recovery
Re:Cycle Reverse Logistics Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- AWS
- Bachelor's degree
Staff Software Engineer, AI Reliability Engineering
Anthropic —Dublin, County Dublin
- €235,000–€295,000 a year
- Bachelor's degree
- AI
- Communication skills

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Infrastructure Engineer

JPMorganChase -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time

Qualifications

Azure
Internet of things
Kubernetes
Google Cloud Platform
Distributed systems
Terraform
AI
Leadership
Graph databases
Python

Full job description

JOB DESCRIPTION

Join us to shape the future of infrastructure engineering with a focus on IoT and edge computing. You will have the opportunity to collaborate with talented colleagues globally, solve complex challenges, and make a meaningful impact on our technology landscape. We value your expertise and encourage continuous learning and growth. At JPMorganChase, you'll find a culture of inclusion, respect, and opportunity. Bring your passion for technology and help us modernize and innovate.

As an Infrastructure Engineer – IoT and Edge Computing within our Infrastructure Engineering team, you will apply your technical expertise to drive impactful projects. You will architect and implement solutions that modernize our technology processes and resolve complex issues. You will collaborate with global teams, manage stakeholder relationships, and contribute to a culture of diversity and inclusion. Your work will help shape the future of our workplace technology and support our commitment to innovation.

Job Responsibilities:

Apply technical expertise and problem-solving methodologies to projects of moderate scope
Drive workstreams or projects involving infrastructure engineering technologies
Collaborate with other platforms to architect and implement changes that resolve issues and modernize technology processes
Execute creative solutions for design, development, and technical troubleshooting of moderate complexity
Consider upstream and downstream data and systems implications, advising on mitigation actions
Foster a team culture of diversity, opportunity, inclusion, and respect
Manage stakeholder relationships and team work in line with compliance standards and service level agreements
Partner with engineering and product teams to ensure remediation and permanent closure of issues, identifying trends for product improvement
Demonstrate a high aptitude for learning and teaching as new features and products are released
Partner with subject matter experts to understand and deliver business value through IoT
Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements
Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations

Required Qualifications, Capabilities, and Skills:

Formal training or certification in infrastructure engineering concepts
Applied experience in infrastructure engineering, including IoT, edge computing, or real-time data systems
Deep knowledge of network infrastructure, edge computing, and IoT device connectivity (e.g., MQTT, CoAP, LoRaWAN, 5G/WiFi standards)
Expertise in one or more areas of infrastructure engineering such as hardware, networking, databases, storage, deployment, integration, automation, scaling, resilience, or performance assessments
Understanding of workplace infrastructure design and human usability patterns
Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
Proficiency in at least one infrastructure technology and scripting languages (e.g., Python)
Commitment to developing technical and cross-functional knowledge
Knowledge of cloud infrastructure and multiple cloud technologies, with ability to operate in and migrate across public and private clouds
Strong leadership and team coordination skills
Familiarity with large distributed systems, including compute, databases, messaging, observability, and telemetry
Knowledge of incident, change, and problem management processes and controls
Understanding of data-driven decision making
AWS certification(s)
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.

Preferred Qualifications, Capabilities, and Skills:

Certifications in Kubernetes, Azure, GCP, or Terraform
Experience with building or industrial automation protocols (e.g., BACnet, Modbus) or embedded systems communication protocols (e.g., I2C, UART, BLE GATT)
Knowledge of contemporary metadata schemas (e.g., Brick, Project Haystack, RealEstateCore) and frameworks for building/querying knowledge graphs (e.g., RDF, SPARQL, SHACL)

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Apply Now

Refine Your Search

learning hardware jobs in dublin, d

Infrastructure Engineer

AI Research Engineer (Multi-Modal Reinforcement Learning) - 100% Remote Worldwide

Health and Safety Manager , Data Center Health and Safety

AI Research Engineer (Agentic Post-training) - 100% Remote Worldwide

Staff Software Engineer, Inference

Material Handler

Recovery Specialist, Value Recovery

People Technology Platform Engineer (Workday)

Software Development Engineer, ML Navigators

Module Process Engineer (CMP)

Sr. Technical Program Manager, AWS Manufacturing Operations

Module Process Engineer (MDP)

Development Manager

AI Inference Engineer QVAC (100% remote Worldwide)

Module Process Engineer (ALD)

Data Center Facility Manager, Operation, IT and support Engineering

Capacity Planning Manager, CDP EMEA

Optical Deployment Engineer

New Product Introduction (NPI) Coordinator, Value Recovery

Staff Software Engineer, AI Reliability Engineering

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