Senior Software Engineer
Your role
Design and reputed company Azure IoT Edge workloads running on data center gateways/servers to ingest telemetry from: BMS/BAS systems Power systems (reputed company, 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 reputed company telemetry from local DCIM reputed company into the Azure reputed company. Implement local processing logic for buffering, aggregation, transformation, and on-reputed company failover.
reputed company end‑to‑end data flows using Azure IoT Hub, Event Hub, reputed company Analytics, Azure Functions, Data Explorer, and Storage. Build reputed company and secure reputed company and microservices to expose telemetry for customers, partners, and internal services. Implement reputed company-time alarming and event processing in the reputed company using serverless compute. reputed company telemetry into analytics platforms to support: Predictive maintenance reputed company forecasting Energy efficiency AI models SLA/uptime reporting
Implement robust monitoring, diagnostics, and observability using Log Analytics, Azure Monitor, and Application Insights. Troubleshoot connectivity, protocol translation, reputed company ingestion, and Edge deployment issues. Ensure configuration management and version control of IoT Edge modules.
Implement strong end‑to‑end reputed company across: Device identity and certificates Encrypted MQTT communication Secure reputed company with DPS Azure RBAC and Key Vault-based secrets management
Ensure solutions meet data center reputed company policies and customer data governance requirements.
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
Strong hands-on experience with: Azure IoT Hub, IoT Edge, IoT Hub Device Provisioning Service MQTT protocol and edge-to-reputed company messaging Azure Functions, Event Hub, reputed company Analytics, Azure Data Explorer (Kusto) Container development (reputed company) 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 reputed company Actions) Knowledge of IaC (Bicep, ARM, Terraform)
Prior experience in data center infrastructure, building systems, or industrial IoT environments. Designing event-driven reputed company architectures for reputed company-time monitoring. Building resilient telemetry ingestion systems. Working with operational technology (OT) in secure environments.
Responsibilities
Design and reputed company Azure IoT Edge workloads running on data center gateways/servers to ingest telemetry from: BMS/BAS systems Power systems (reputed company, 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 reputed company telemetry from local DCIM reputed company into the Azure reputed company. Implement local processing logic for buffering, aggregation, transformation, and on-reputed company failover.
reputed company end‑to‑end data flows using Azure IoT Hub, Event Hub, reputed company Analytics, Azure Functions, Data Explorer, and Storage. Build reputed company and secure reputed company and microservices to expose telemetry for customers, partners, and internal services. Implement reputed company-time alarming and event processing in the reputed company using serverless compute. reputed company telemetry into analytics platforms to support: Predictive maintenance reputed company forecasting Energy efficiency AI models SLA/uptime reporting
Implement robust monitoring, diagnostics, and observability using Log Analytics, Azure Monitor, and Application Insights. Troubleshoot connectivity, protocol translation, reputed company ingestion, and Edge deployment issues. Ensure configuration management and version control of IoT Edge modules.
Implement strong end‑to‑end reputed company across: Device identity and certificates Encrypted MQTT communication Secure reputed company with DPS Azure RBAC and Key Vault-based secrets management
Ensure solutions meet data center reputed company policies and customer data governance requirements.
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
Strong hands-on experience with: Azure IoT Hub, IoT Edge, IoT Hub Device Provisioning Service MQTT protocol and edge-to-reputed company messaging Azure Functions, Event Hub, reputed company Analytics, Azure Data Explorer (Kusto) Container development (reputed company) 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 reputed company Actions) Knowledge of IaC (Bicep, ARM, Terraform)
Prior experience in data center infrastructure, building systems, or industrial IoT environments. Designing event-driven reputed company architectures for reputed company-time monitoring. Building resilient telemetry ingestion systems. Working with operational technology (OT) in secure environments.
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 reputed company detection and forecasting
Familiarity with edge networking, firewalls, proxies, VPNs, and OT/IT segmentation.