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Full Stack EngineerIntraEdge • ludhiana, punjab, in
Full Stack Engineer

Full Stack Engineer

IntraEdge • ludhiana, punjab, in
30+ days ago
Job description

Job Title : Senior IoT Full Stack Engineer

Location : Pune / Hyderabad / Remote

We’re rebuilding a legacy IoT monolith into a modern microservices-based platform on Azure. Looking for a hands-on IoT engineer who can own development across cloud and edge services. This role focuses on Azure IoT, microservices, and edge workloads — not device hardware / firmware .

Responsibilities

  • Ramp up quickly on current IoT platform, domain, and modernization roadmap.
  • Design and build cloud and edge microservices using .NET / C# with gRPC and RESTful APIs.
  • Develop, deploy, and manage workloads on Azure IoT Edge and AKS .
  • Build integrations across Azure IoT Hub, Event Hub, Edge Modules, Gateways , and cloud back-end services.
  • Implement DTDL models for device capabilities, telemetry, and digital twins.
  • Own E2E development for data flows : device → edge → gateway → cloud → external integrations.
  • Ensure reliable and secure messaging across IoT protocols ( AMQP, MQTT ) and service communication.
  • Collaborate closely with architects, QA, and product to drive modernization milestones.
  • Contribute to CI / CD, code quality, automation, and performance improvements.

Must-Have Requirements

  • 6+ years of software engineering experience with strong .NET and C# .
  • Solid experience building gRPC microservices and RESTful APIs .
  • Strong hands-on Azure IoT skills : IoT Hub, IoT Edge, Event Hub , and related services.
  • Experience with AKS or Kubernetes-based deployments for IoT or distributed systems.
  • Strong understanding of IoT messaging protocols AMQP and MQTT .
  • Experience designing and integrating Edge + Cloud solutions (gateway patterns, routing, offline sync, failover).
  • Good hold on DTDL, digital twin concepts, and IoT data modeling.
  • Good to Have

  • Experience with API Gateway patterns, service mesh, or distributed tracing.
  • Exposure to Azure Functions, Cosmos DB, or Time Series Insights.
  • Experience with CI / CD pipelines for IoT or microservices workloads.
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