Senior Software Engineer
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Job Location:
Amsterdam - Netherlands
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Description
Responsibilities
Qualifications
Your role
oT Edge & Data Center Integration
- Design and deploy Azure IoT Edgeworkloads running on data center gateways/servers to ingest telemetry from:
- BMS/BAS systems
- Power systems (UPS PDUs ATS Generators)
- Cooling and mechanical systems
- Environmental sensors (temperature humidity airflow water leak)
- IT infrastructure (SNMP Modbus BACnet OPC-UA)
- Build MQTT-based ingestion pipelinesto securely stream telemetry from local DCIM collectors into the Azure cloud.
- Implement local processing logic for buffering aggregation transformation and on-premise failover.
Cloud Data Pipeline Engineering
- Develop endtoend data flows using Azure IoT Hub Event Hub Stream Analytics Azure Functions Data Explorer and Storage.
- Build scalable and secure APIs and microservices to expose telemetry for customers partners and internal services.
- Implement real-time alarming and event processingin the cloud using serverless compute.
- Integrate telemetry into analytics platforms to support:
- Predictive maintenance
- Capacity forecasting
- Energy efficiency AI models
- SLA/uptime reporting
Platform Reliability & Operations
- Implement robust monitoring diagnostics and observability using Log Analytics Azure Monitor and Application Insights.
- Troubleshoot connectivity protocol translation cloud ingestion and Edge deployment issues.
- Ensure configuration management and version control of IoT Edge modules.
Security & Compliance
- Implement strong endtoend security across:
- Device identity and certificates
- Encrypted MQTT communication
- Secure onboarding with DPS
- Azure RBAC and Key Vault-based secrets management
- Ensure solutions meet data center security policies and customer data governance requirements.
Collaboration & Documentation
- Partner with DC Operations Facilities Product Management Data Science and Customer Engineering teams.
- Document architecture deployment processes and support handover materials.
- Contribute to design standards and best practices for DCIM modernization.
What youll need
Technical Skills
- Strong hands-on experience with:
- Azure IoT Hub IoT Edge IoT Hub Device Provisioning Service
- MQTT protocoland edge-to-cloud messaging
- Azure Functions Event Hub Stream Analytics Azure Data Explorer (Kusto)
- Container development (Docker) and Edge module creation
- C# Python or Go for backend and edge services
- Familiarity with data center protocols and devices:
- Modbus RTU/TCP BACnet/IP SNMP OPC-UA
- Environmental sensors and telemetry networks
- Experience with CI/CD pipelines (Azure DevOps or GitHub Actions)
- Knowledge of IaC (Bicep ARM Terraform)
Experience
- Prior experience in data center infrastructure building systems or industrial IoTenvironments.
- Designing event-driven cloud architectures for real-time monitoring.
- Building resilient telemetry ingestion systems.
- Working with operational technology (OT) in secure environments.
Responsibilities
oT Edge & Data Center Integration
- Design and deploy Azure IoT Edgeworkloads running on data center gateways/servers to ingest telemetry from:
- BMS/BAS systems
- Power systems (UPS PDUs ATS Generators)
- Cooling and mechanical systems
- Environmental sensors (temperature humidity airflow water leak)
- IT infrastructure (SNMP Modbus BACnet OPC-UA)
- Build MQTT-based ingestion pipelinesto securely stream telemetry from local DCIM collectors into the Azure cloud.
- Implement local processing logic for buffering aggregation transformation and on-premise failover.
Cloud Data Pipeline Engineering
- Develop endtoend data flows using Azure IoT Hub Event Hub Stream Analytics Azure Functions Data Explorer and Storage.
- Build scalable and secure APIs and microservices to expose telemetry for customers partners and internal services.
- Implement real-time alarming and event processingin the cloud using serverless compute.
- Integrate telemetry into analytics platforms to support:
- Predictive maintenance
- Capacity forecasting
- Energy efficiency AI models
- SLA/uptime reporting
Platform Reliability & Operations
- Implement robust monitoring diagnostics and observability using Log Analytics Azure Monitor and Application Insights.
- Troubleshoot connectivity protocol translation cloud ingestion and Edge deployment issues.
- Ensure configuration management and version control of IoT Edge modules.
Security & Compliance
- Implement strong endtoend security across:
- Device identity and certificates
- Encrypted MQTT communication
- Secure onboarding with DPS
- Azure RBAC and Key Vault-based secrets management
- Ensure solutions meet data center security policies and customer data governance requirements.
Collaboration & Documentation
- Partner with DC Operations Facilities Product Management Data Science and Customer Engineering teams.
- Document architecture deployment processes and support handover materials.
- Contribute to design standards and best practices for DCIM modernization.
Qualifications
Technical Skills
- Strong hands-on experience with:
- Azure IoT Hub IoT Edge IoT Hub Device Provisioning Service
- MQTT protocoland edge-to-cloud messaging
- Azure Functions Event Hub Stream Analytics Azure Data Explorer (Kusto)
- Container development (Docker) and Edge module creation
- C# Python or Go for backend and edge services
- Familiarity with data center protocols and devices:
- Modbus RTU/TCP BACnet/IP SNMP OPC-UA
- Environmental sensors and telemetry networks
- Experience with CI/CD pipelines (Azure DevOps or GitHub Actions)
- Knowledge of IaC (Bicep ARM Terraform)
Experience
- Prior experience in data center infrastructure building systems or industrial IoTenvironments.
- Designing event-driven cloud architectures for real-time monitoring.
- Building resilient telemetry ingestion systems.
- Working with operational technology (OT) in secure environments.
Preferred Qualifications
- Azure certifications: AZ204 AZ220 AZ305or equivalent.
- Experience with:
- Data center DCIM systems
- Power and cooling system integration
- High-availability IoT solutions
- Digital twins (Azure Digital Twins or equivalent)
- AI/ML pipelines for anomaly detection and forecasting
- Familiarity with edge networking firewalls proxies VPNs and OT/IT segmentation.
Required Experience:
Senior IC
Key Skills
About Company
With Digital Realty, you can leverage our full interconnection capabilities across our global ecosystem including data centers, connectivity and cloud services.
