Find Validation engineer automation Jobs in Dublin, D

Lead Infrastructure Engineer (IOT/Edge Computing)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Mentoring
- AI
10d
Lead Infrastructure Engineer (Workplace Solutions)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Windows
- Java
3d
Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
Data Engineer III - Databricks
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- Agile
3d
Senior Integration Engineer
U.S. Bank National Association —DUBLIN 18, County Dublin
- €102,680–€120,800 a year
- Full-time
- Azure
- Java
- Master's degree
Manager of Security Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- DevOps
- Java
- AWS
2d
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Lead Software Engineer - Infrastructure Platforms
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Java
- C++
Lead Software Engineer - AWS
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Oracle
- Java
- SQL
10d
Lead Software Engineer- Backend
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- DevOps
- System design
Software Engineering Lead - Infrastructure Platforms
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Java
- C++
Senior Process Engineer
Embecta —Dún Laoghaire, County Dublin
- Full-time
- Engineering
- Data analysis skills
- Bachelor's degree
Quick apply
Engineering Shift Technician
Embecta —Dún Laoghaire, County Dublin
- 12 hour shift
- Engineering
- Analysis skills
- Continuous improvement
Quick apply

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Lead Infrastructure Engineer (IOT/Edge Computing)

JPMorganChase -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time
10 days ago

Qualifications

Azure
Internet of things
Kubernetes
Google Cloud Platform
Distributed systems
Terraform
Mentoring
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 partner with talented colleagues globally to solve complex challenges and deliver measurable outcomes across our technology landscape. At JPMorganChase, you'll find a culture of inclusion, respect, and opportunity—where your expertise is valued, your voice influences direction, and continuous learning is expected and supported. Bring your passion for modern infrastructure and help us innovate at scale.

As a Lead Infrastructure Engineer – IoT and Edge Computing within our Infrastructure Engineering team, you will set technical direction and lead delivery for critical IoT and edge initiatives. You will architect and implement resilient, secure, and observable solutions; guide engineering standards and operational excellence; and serve as a senior partner to product, engineering, and stakeholders. You will mentor engineers, drive cross-platform alignment, and ensure solutions meet compliance, auditability, and service reliability expectations.

Job Responsibilities

Lead architecture and execution of complex infrastructure engineering initiatives spanning IoT, edge computing, and real-time data systems
Own technical direction for one or more IoT/edge domains (connectivity, edge runtime, device onboarding, telemetry/observability, identity, lifecycle management) and contribute to multi-quarter roadmaps
Drive multiple workstreams or large, high-impact projects, coordinating dependencies across global teams and platforms
Partner with other platforms to design and implement changes that modernize technology processes, reduce risk, and improve reliability and performance
Provide hands-on engineering leadership for design, development, automation, integration, and technical troubleshooting of high complexity; unblock teams and accelerate delivery
Set and enforce engineering standards (reference architectures, patterns, reusable components, guardrails, operational readiness, SLO/SLA alignment)
Evaluate upstream/downstream system and data implications, advise on mitigations, and ensure changes are resilient, secure, and compliant
Lead stakeholder management across technology and business partners; communicate tradeoffs, decisions, and progress with clarity and accountability
Champion a culture of diversity, opportunity, inclusion, and respect, including mentorship, coaching, and feedback that grows others
Partner with engineering and product teams to ensure remediation and permanent closure of issues, identify trends, and drive systemic product improvements
Lead incident/problem/change management outcomes: facilitate root cause analysis, define corrective actions, and drive prevention through automation and control enhancements
Demonstrate a high aptitude for learning and teaching, including sharing best practices as new features and products are released
Partner with subject matter experts to understand and deliver business value through IoT and edge solutions
Use 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
Apply 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
Extensive applied experience in infrastructure engineering, including IoT, edge computing, and/or real-time data systems, with demonstrated ownership of production outcomes
Deep knowledge of network infrastructure, edge computing, and IoT device connectivity (e.g., MQTT, CoAP, LoRaWAN, 5G/WiFi standards)
Proven expertise in multiple areas of infrastructure engineering such as hardware, networking, databases, storage, deployment, integration, automation, scaling, resilience, and performance assessments
Demonstrated ability to lead architecture decisions, drive technical consensus across teams, and influence platform direction/standards
Strong 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, including mentoring and guiding engineers through delivery and operational challenges
Familiarity with large distributed systems, including compute, databases, messaging, observability, and telemetry
Strong knowledge of incident, change, and problem management processes and controls
Understanding of data-driven decision making and practical metrics/SLO thinking
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

validation engineer automation jobs in dublin, d

Lead Infrastructure Engineer (IOT/Edge Computing)

Lead Infrastructure Engineer (Workplace Solutions)

Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations

Data Engineer III - Databricks

Senior Integration Engineer

Manager of Security Engineering

Director of Software Engineering - Workplace Technology

Lead Software Engineer - Infrastructure Platforms

Lead Software Engineer - AWS

Lead Software Engineer- Backend

Software Engineering Lead - Infrastructure Platforms

Senior Process Engineer

Engineering Shift Technician

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