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Backend Engineer

Santa Clara, CA

12 months+ contract

The backend engineer will build and maintain the platform services that AI agents and the frontend application depend on. Work will span:

API design and implementation — RESTful and event-driven service APIs for asset management, configuration, telemetry access, and workflow orchestration
Service integrations — Connecting platform capabilities to shared services including identity and access management, weather data, utility tariff data, notification delivery, and audit logging
Real-time telemetry pipeline — Processing industrial telemetry from MQTT/Sparkplug B message streams via Azure Event Hub, including message decoding, metric normalization, knowledge-graph-based enrichment, and downstream publishing
Command and control path — Implementing the outbound command path to industrial equipment with acknowledgement verification
Data persistence and query — Working with time-series databases, graph databases, and object storage to support operational and analytical workloads
Infrastructure and deployment — Containerized services running on Azure Kubernetes Service (AKS), with CI/CD pipelines and infrastructure-as-code

Required skills:

Strong Python and/or Java development (3+ years production experience)
Experience designing and building microservices on Azure (AKS, Event Hub, Event Grid, Azure Data Explorer, Cosmos DB, or equivalent)
Familiarity with event-driven architectures and message brokers (Kafka, Event Hub, MQTT)
Experience with containerization (Docker, Kubernetes, Helm)
Working knowledge of CI/CD pipelines (GitHub Actions or Azure DevOps Pipelines)
Comfort with infrastructure-as-code (Terraform, Bicep, or Pulumi)

Preferred skills:

Experience with industrial protocols (Sparkplug B, OPC-UA, Modbus, BACnet, SNMP)
Background in energy management, SCADA, or building management systems
Familiarity with graph databases or RDF triple stores
Experience with time-series data at scale (Azure Data Explorer / Kusto, InfluxDB, TimescaleDB)

Pay: $45.00 - $50.00 per hour

Work Location: In person