Senior Data Architect

We are seeking a highly autonomous AI Engineer to join our team. This role will involve installing, configuring and supporting IoT solutions for multiple clients.

• This is an exciting time to be part of our growing team as we continue to scale up with clients across the world.
• This role offers flexibility to work 100% remotely, with occasional visits required to our office sites.

• Experience working with ELK Stack is essential.
• Lead the preparation, installation/configuration of software and equipment for clients including post-go-live support.
• Maintenance of IT and industrial IoT infrastructure.
• Visit customer sites to troubleshoot any issues, implement fixes and coordinate with the product team to communicate with wider R&D research.
• Collaborate with Sales to implement trials and site surveys to ensure our technical solution matches the realities of customers' needs, machines and factory environment.
• Configure and test hardware components in preparation for installation.
• Test installs and help customers validate that our devices are capturing accurate data.
• Coordinate with Sales and Customer Success teams to fix technical problems or install replacement equipment.
• Work with the product team to identify new technologies that could be used to serve customer needs and build prototype or MVP solutions.

• Strong experience with Python and knowledge of C# or C/C++ is beneficial.
• Linux operating system knowledge and experience are mandatory.
• Previous experience of delivering projects in an Agile environment.
• TDD Familiarity.
• Open-source development tools and methodology understanding.
• Embedded systems security mechanisms.
• Strong debug and problem-solving skills using the latest tools.
• Experience developing and debugging multithreaded and/or multiprocess code.
• Ability to understand complex issues and discuss them via phone, email and other methods.
• Flexible, can-do approach.
• Consultancy or other customer-facing role.

• Minimum 2 years' experience in software development.
• Networking protocols and standards including TCP/IP, Wi-Fi, UPnP, DLNA, HLS or MPEG-DASH.
• Experience of secure interfacing with head-end systems.
• Scrum methodologies.