Infrastructure Engineer
On-siteDublin, Leinster, Ireland
Job Summary
Architect and implement infrastructure solutions for IoT and edge computing projects, driving workstreams that modernize technology processes and resolve complex issues. Execute creative design, development, and troubleshooting for moderate complexity while considering upstream and downstream data implications. Collaborate with global engineering and product teams to ensure permanent issue closure, manage stakeholder relationships, and partner with subject matter experts to deliver business value. Apply technical expertise to validate AI-assisted recommendations, ensuring changes align with resiliency, security, and auditability expectations. This role requires formal training in infrastructure engineering, deep knowledge of network infrastructure and IoT protocols, and proficiency in scripting languages. Candidates must demonstrate experience with cloud infrastructure, distributed systems, and incident management processes. AWS certification is required, along with a commitment to continuous learning and cross-functional knowledge development.
Required 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)
- 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
Desired Qualifications
- 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)
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