Must HaveTechnical/Functional Skills
- 2 years of Azure cloud engineer experience with
- Azure IoT Edge platform
- Azure Dashboards and KQL
- Azure resources (Function Apps/Logic Apps/Cosmos
- DB/Azure SQL/Event Grid)
- C#, ASP .Net core
- Basic Linux commands
Roles & Responsibilities
- Implement Machine Vision Edge-to-Cloud System for Mechanical-Technology Driven Train Inspection (TDTI) focused on reducing Derailments, Reducing Service Interruptions, and Increasing Velocity.
- Collaborate with and lead other members of the team, including Technology Services and Business Leadership, Onshore/Offshore Developers, and 3rd Party Vendors to Identify, Solve and Implement Solutions that meet/exceed technical and/or business requirements.
- Extract, manipulate and analyze information from large data sets.
- Support Safety Critical 24/7 System.
- Demonstrate a Passion for Solving Customer Problems, Automating Manual Processes, and Making an Impact to the Railroad.
The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for the position. These general categories do not necessarily constitute an exhaustive list of duties of the position.
Prescreening Questionnaire
- How to Configure an loT Edge gateway.
- Steps to Deploy an loT Edge Modbus module
- How to Extract, manipulate and analyze information from large data sets
- How to set up the IoT Solution Infrastructure
- Ways to add azureiotsecurity module identity to the Azure IoT
