Job Description
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
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
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