Senior Software Engineer - Cloud Platform/IoT
Listed on 2026-05-23
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Software Development
Cloud Engineer - Software, DevOps, Software Engineer, AI Engineer
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Regular Full-Time Appleton, WI, US
Supervisory ResponsibilitiesNone
CMD’s PurposeMaking It Better Together… We believe in building lifelong partnerships, providing high performing equipment and value-added solutions. We empower and trust our employees to take initiative and make decisions that drive our business forward. We strive to make a positive impact on the world around us.
Position SummaryThe Senior Software Engineer - Cloud Platform/IoT will help design, build, and maintain scalable IoT platform solutions. The role performs work on systems that ingest, process, and act on real-time data from connected devices, supporting use cases across edge computing, cloud services, and enterprise integrations.
This role is ideal for an individual who enjoys working close to hardware and cloud infrastructure, and who is passionate about building reliable, production-grade IoT systems. Ability to enable results in business process improvement and new revenue streams by leveraging data.
Essential Functions- Application Development: Develop and maintain scalable software for cloud-based edge architectures, embedded devices, firmware, and people centered applications that power CMD’s IoT Solutions.
- Data and Protocol Implementation: Design, develop, and extend secure data ingestion, processing, and transformation pipelines using protocols like MQTT, HTTP/REST.
- Hardware Integration: Collaborate with electrical and mechanical engineering teams to integrate sensors, embedded compute, and edge devices within CMD’s IoT platform.
- Cloud and Database Management: Integrate IoT systems with cloud platforms (e.g., Google Cloud Platform) and develop backend services for data ingestion, processing, storage and analytics.
- Collaboration: Work with product managers, architects, and hardware teams to define requirements and deliver solutions.
- Security and Testing: Implement security measures to protect data integrity, conduct debugging, and perform unit testing on IoT applications.
- Optimization: Maintain and optimize code for performance and reliability in resource-constrained environments. Support deployments, monitoring, and ongoing platform improvements.
Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Reasonable accommodation may be made to enable individuals with disabilities to perform these essential functions.
Competencies- IoT Protocols: Working knowledge of connectivity protocols (MQTT, HTTP, CoAP, etc.) and messaging queues.
- Self‑starter with strong time‑management skills, able to collaborate effectively with cross‑functional teams (hardware, UI/UX, data science) and apply analytical problem‑solving to troubleshoot complex, distributed systems.
- Adaptable to emerging IoT technologies and trends, with a strong interest in advancing our vision toward Agentic AI–powered systems.
- Education: Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or equivalent experience.
- Databases and Modeling: Experience with time‑series databases and entity‑relationship modeling. Data processing & management skills (ETL/ELT).
- Cloud Platforms: Experience with IoT services within cloud environments (e.g., GCP, Pub/Sub, Compute, Storage, and other services).
- API Development: Experience in designing and integrating RESTful APIs.
- Experience with Edge Computing and real‑time data processing.
- Experience using AI strategies to accelerate and enhance development practices.
- General Unix and Networking knowledge.
- Working Knowledge of embedded systems and firmware architectures.
- Familiarity with Dev Ops tools and CI/CD pipelines (Gitlab CI, Git Hub Actions).
- Dedication to ensure quality, scalability and reliability of services.
- Strong drive for continuous learning and new skills development.
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