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# Backend / Cloud Engineer (IoT Platform)

- **Company:** People Focus d.o.o.
- **Location:** Wien, Austria (Remote available)
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, User Authentication, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Cloud Engineering, Databases, Continuous Integration, Data Deduplication, Data Integrity, Data Security, Linux, DevOps, Firmware, Monitoring of Systems, Python (Programming Language), Machine Learning, Message Broker, Message Queuing Telemetry Transport (MQTT), Node.Js, Software Architecture, Role-Based Access Control, Cloud Services, WebSocket, Data Logging, Pulumi, Data Processing, Google Cloud, Cloud Platform System, Data Ingestion, Delivery Pipeline, Backend, Git, Event Driven Architecture, Infrastructure Automation Frameworks, Deployment Automation, Multiaccess Edge Computing, Restful APIs, Terraform, Data Pipelines, Predix, Docker, Golang
- **Published:** July 4, 2026
- **Apply:** https://at.indeed.com/viewjob?jk=a18e161e3d73d66b

## About the Role

* Practical experience or strong demonstrated knowledge of backend development
 * Good knowledge of one or more backend programming languages such as Python, Node.js, Go, Java, C# or similar
 * Experience with REST APIs, MQTT, WebSockets or similar communication technologies
 * Experience working with relational and/or time-series databases
 * Familiarity with cloud environments and server-side infrastructure
 * Understanding of authentication, authorization, encryption and secure API design
 * Experience with Linux, Docker, Git, CI/CD pipelines or deployment automation
 * Ability to design structured data models and reliable data ingestion workflows
 * Experience building monitoring, logging and diagnostic solutions
 * Ability to prepare clear technical documentation
 * English or Serbian/Bosnian/Croatian for daily communication

Nice to have:

 * Experience with IoT platforms, connected devices or edge/cloud architectures
 * Experience with AWS, Microsoft Azure or Google Cloud Platform
 * Experience with message brokers, queues, event-driven architectures and time-series databases
 * Experience implementing OTA update workflows and device management solutions
 * Experience with GDPR-compliant data handling and role-based access control
 * Experience developing dashboards, admin panels or operational monitoring tools
 * Experience integrating AI/ML model outputs into backend systems
 * Experience with Infrastructure as Code tools such as Terraform or Pulumi
 * Experience with observability platforms, uptime monitoring and production diagnostics
 * German language skills for communication with Austrian partners and suppliers

## Description

The Backend / Cloud / DevOps Engineer will be responsible for designing, developing and maintaining the backend services and cloud infrastructure that support a connected IoT platform. The role includes building secure communication between distributed devices and cloud services, implementing scalable data processing pipelines, deployment automation and monitoring solutions., * Developing backend architecture and cloud-based services

 * Implementing secure data ingestion pipelines from connected edge devices
 * Developing communication interfaces using MQTT, REST APIs, WebSockets or similar technologies
 * Designing and maintaining databases for sensor data, telemetry, logs, alerts, AI outputs and operational information
 * Building monitoring, remote diagnostics, logging and alerting solutions
 * Supporting OTA deployment workflows for firmware, backend services and edge software
 * Implementing authentication, authorization, encryption and secure API design
 * Developing backend services for dashboards, operator interfaces and monitoring tools
 * Implementing buffering, synchronization, deduplication and data integrity mechanisms for unstable connectivity scenarios
 * Setting up cloud infrastructure, deployment automation, CI/CD pipelines and DevOps workflows
 * Collaborating with Embedded Engineers on device-to-cloud communication and telemetry
 * Collaborating with AI/ML Engineers on data models, analytics integration and model output management
 * Preparing technical documentation for backend architecture, APIs, deployment workflows and operational procedures


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