Senior Software Engineer

Our client, a data center company in the DFW area,
Senior Software Engineer
with strong experience in
IoT Edge, MQTT, and cloud data pipelines
, to support the next generation of
Data Center Infrastructure Management (DCIM)
platforms.
In this role, you will build and operate cloud-connected data pipelines that collect real-time telemetry from data centers—covering power, cooling, environmental sensors, building systems, and IT infrastructure—and securely deliver this data to Azure for
real‑time alarming, monitoring, customer data sharing, predictive analytics, AI/ML, and reporting
.
This position is ideal for someone passionate about data-driven operations, cloud-native IoT architecture, and bringing modern digital capabilities into critical infrastructure environments.
IoT 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.