Infrastructure Engineer

Next Frontier Capital; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

JPMorganChase is hiring an Infrastructure Engineer focused on IoT and edge computing. You will design, implement, and modernize infrastructure solutions, collaborating with global teams to manage complex issues and enable secure data flows.

The role emphasizes AI-assisted workflows, governance, and cross-functional delivery. The ideal candidate shows strong IoT and cloud proficiency, leadership, and a passion for learning in a dynamic environment where security and resilience are priorities.

Qualifications

• 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).
• 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.

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.

Skills

IoT

Edge computing

Python

Cloud platforms

MQTT

CoAP

LoRaWAN

AI validation

Infrastructure automation

Networking

Security/compliance

Leadership

Tools

Terraform

Kubernetes

Azure

GCP

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)

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.

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. Drive innovation in IoT and edge computing by designing, implementing, and supporting modern infrastructure solutions.