We are looking for a Backend Engineer to own and evolve our core integration platform. The ideal candidate will be responsible for designing, building, and scaling event-driven microservices that enable seamless communication between IoT platforms and third-party vendor ecosystems.
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Design and develop scalable cloud-native applications.
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Build and maintain RESTful APIs and backend services.
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Develop microservices and distributed applications.
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Implement event-driven architectures using Kafka, MQTT, and cloud messaging services.
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Build and enhance backend services for device state synchronization and real-time communication.Integrate cloud services, third-party APIs, and databases.
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Develop serverless applications using AWS Lambda or Azure Functions.
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Implement OAuth 2.0-based authentication and secure token management.Build scalable APIs for real-time dashboards and telemetry data visualization.
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Establish and maintain CI/CD pipelines for automated deployments.
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Collaborate with Product Managers, Architects, and QA teams to ensure timely and high-quality delivery.
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Troubleshoot and resolve complex production issues across distributed systems.
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5–8 years of professional Backend Engineering experience.
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Strong proficiency in Python.
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Exposure to Node.js and TypeScript.
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Experience with event-driven architecture using Apache Kafka, MQTT, or similar messaging systems.
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Strong experience in RESTful API design and development.
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Hands-on experience building and scaling microservices.
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Experience with cloud platforms:
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AWS (ECS, Lambda, S3, CodePipeline)
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OR GCP (App Engine, Cloud Run)
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Strong understanding of OAuth 2.0, JWT, and secure authentication flows.
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Experience with Docker and containerized deployments.
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Experience with CI/CD pipelines using GitHub Actions, Jenkins, or AWS CodePipeline.
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Excellent problem-solving and debugging skills.
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Experience with IoT platforms and MQTT protocols.
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Familiarity with cloud messaging services such as Google Pub/Sub, Azure Event Hub, AWS SNS/SQS.
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Experience with Alexa Smart Home or Google Home integrations.
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Experience with Kubernetes-based deployments.
