IoT Engineer

Job Title - IoT Integration Software Engineer – Digital Products  

Locations: Cary, NC / Overland Park, KS/ Remote(US)

•                   Hands-on experience with AWS IoT SiteWise, including asset models and hierarchies 

•                   Experience with AWS IoT Greengrass or other edge-to-cloud integration platforms 

Role Overview 

We are seeking an experienced IoT Integration Software Engineer to join the Digital & IT organization . This role focuses on the ingestion, modeling, and integration of industrial telemetry data into modern, cloud-native digital products. 

You will serve as a subject-matter expert for IoT data ingestion and asset modeling, working closely with application engineers, hardware integration engineers, and product teams to ensure that telemetry data is reliable, well-structured, and usable by downstream applications. This role emphasizes IoT domain knowledge, cloud-native integration, and bridging physical assets to digital systems. 

The Team 

This role sits within the D&IT Digital Products team, which enables people, projects, and businesses through modern platforms, data, analytics, and digital products. Our teams build and operate software using agile, product-oriented ways of working with a strong focus on quality, security, and reliability, and long-term maintainability. 

Key Responsibilities 

As an IoT Integration Software Engineer, you will: 

•                   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 

This role is an individual contributor position with strong domain ownership and cross-team influence.  What Success Looks Like (First 6–12 Months) 

•                   Successfully supporting production ingestion pipelines for industrial telemetry 

•                   Establishing clear, maintainable asset models aligned to physical systems 

•                   Reducing ingestion-related defects and data quality issues for application teams 

•                   Becoming a trusted SiteWise and IoT integration SME for product engineers 

•                   Improving visibility and diagnostics for asset mapping and ingestion failures 

•                   Enabling application teams to move faster by abstracting IoT complexity 

Job Description              

Minimum Qualifications 

•                   Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience 

•                   4–7 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 

Preferred Qualifications 

•                   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