Job Description

Your role

oT Edge & Data Center Integration

• Design and deploy Azure IoT Edge workloads 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 pipelines to 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 end‑to‑end 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 processing in 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 end‑to‑end 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 you’ll need

Technical Skills

• Strong hands-on experience with:
  • Azure IoT Hub, IoT Edge, IoT Hub Device Provisioning Service
  • MQTT protocol and edge-to-cloud messaging
  • Azure Functions, Event Hub, Stream Analytics, Azure Data Explorer (Kusto)
  • Container development (Docker) and Edge module creation
  • C#, Python, Node.js, 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 IoT environments.
• Designing event-driven cloud architectures for real-time monitoring.
• Building resilient telemetry ingestion systems.
• Working with operational technology (OT) in secure environments.

oT Edge & Data Center Integration

• Design and deploy Azure IoT Edge workloads 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 pipelines to 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 end‑to‑end 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 processing in 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 end‑to‑end 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.

Technical Skills

• Strong hands-on experience with:
  • Azure IoT Hub, IoT Edge, IoT Hub Device Provisioning Service
  • MQTT protocol and edge-to-cloud messaging
  • Azure Functions, Event Hub, Stream Analytics, Azure Data Explorer (Kusto)
  • Container development (Docker) and Edge module creation
  • C#, Python, Node.js, 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 IoT environments.
• 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: AZ‑204, AZ‑220, AZ‑305 or 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.