Infrastructure Engineer

JPMorgan Chase & Co.; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an Infrastructure Engineer focused on IoT and edge computing.

You will architect and implement modernized infrastructure solutions, collaborating with global teams to resolve complex issues, drive automation, and ensure security and resiliency across distributed systems. The role emphasizes AI-assisted workflows, data-driven decision making, and strong stakeholder management within a large financial services environment.

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 (MQTT, CoAP, LoRaWAN, 5G/WiFi).
• Expertise in hardware, networking, databases, storage, deployment, integration, automation, scaling, resilience, or performance assessments.
• Ability to review and validate AI-assisted recommendations before implementation, ensuring resiliency, security and auditability.
• Knowledge of cloud infrastructure and multiple cloud technologies, with ability to migrate across public and private clouds.

Responsibilities

• Apply technical expertise to projects of moderate scope in infrastructure engineering.
• Drive workstreams or projects involving infrastructure engineering technologies.
• Collaborate with platforms to architect and implement changes that modernize processes.
• Develop and troubleshoot designs for moderate complexity.
• Advise on data implications and mitigation actions across systems.
• Foster a diverse, inclusive team culture and collaborative environment.
• Manage stakeholder relationships and ensure alignment with compliance and SLAs.
• Partner with engineering and product teams to close issues and drive product improvement.
• Demonstrate learning and teaching as new features are released.
• Work with SMEs to deliver business value through IoT.
• Utilize enterprise AI capabilities to accelerate analysis and documentation while ensuring data sensitivity and security.
• Apply AI-assisted practices to identify recurring issues and validate remediation.

Skills

IoT

Edge computing

Networking

Leadership

Python

Cloud technologies

AI validation

Education

Formal training or certification in infrastructure engineering concepts

Tools

MQTT

CoAP

LoRaWAN

5G/WiFi standards

Python

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)