Sr. IOT Engineer -Remote

*** Mode of Interview :- Webcam Interview*** Longterm Project (12Months) *** Remote***

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 .
•       Hands-on experience with AWS IoT SiteWise, including asset models and hierarchies .
•       Experience with AWS IoT Greengrass or other edge-to-cloud integration platforms .
•       Exposure to GenAI / LLM techniques applied to diagnostics, metadata enrichment, or operational insights .
•       Understanding of data validation, observability, and ingestion monitoring practices.

Preferred Qualifications :-

• 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 .