[Remote] IoT Integration Software Engineer
Note: The job is a remote job and is open to candidates in USA. Experion Technologies is seeking an experienced IoT Integration Software Engineer to join their Digital & IT organization. This role focuses on the ingestion, modeling, and integration of industrial telemetry data into modern, cloud-native digital products, emphasizing IoT domain knowledge and cloud-native integration.
Responsibilities
- Design, develop, and maintain IoT ingestion pipelines from edge devices to cloud platforms
- Serve as a technical expert for AWS IoT SiteWise, including asset models, hierarchies, and data semantics
- Work with AWS IoT Greengrass and edge-based integrations to support secure, reliable data ingestion
- Collaborate with hardware and OT integration engineers to perform asset mapping between physical devices and digital models
- Develop tooling, validation, and diagnostics to ensure telemetry quality and correctness
- Partner closely with application engineers to expose IoT data through APIs, event streams, and application-ready interfaces
- Translate industrial and operational concepts into data structures usable by digital applications
- Support troubleshooting and root-cause analysis for ingestion and telemetry issues across environments
- Contribute to documentation and shared standards related to asset modeling, ingestion patterns, and data contracts
- Stay current on emerging IoT, telemetry, and cloud-native integration patterns
Skills
- Bachelor's degree in computer science, Engineering, or a related field, or equivalent practical experience
- 3–12 years of professional software development or integration experience
- Strong proficiency in at least one backend language (e.g., Python, TypeScript)
- Experience working with cloud-based IoT or telemetry systems
- Understanding of event-driven or streaming data architectures
- Experience collaborating across software, platform, and hardware-adjacent teams
- Familiarity with Git-based version control and collaborative development workflows
- Hands-on experience with AWS IoT SiteWise, including asset models and hierarchies
- Experience with AWS IoT Greengrass or other edge-to-cloud integration platforms
- Experience working with industrial IoT or operational technology (OT) environments
- Exposure to RTACs, DCIM systems, or industrial control telemetry
- Experience with time-series data and telemetry ingestion patterns
- Familiarity with containerized applications and cloud-native deployment models
- Experience integrating IoT data into web or SaaS-style applications
- Exposure to GenAI / LLM techniques applied to diagnostics, metadata enrichment, or operational insights
- Understanding of data validation, observability, and ingestion monitoring practices
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