Join DataProphet as a Software Engineer and work on innovative industrial IoT solutions. You'll tackle unique challenges in a fast-paced environment, focusing on high-quality code and continuous learning.
Innovative and collaborative, with a strong focus on quality and continuous improvement.
**Introduction:** Dataprophet collects billions of data points every month from factories around the globe \- yet we're just getting started. Our products and services consist of a fleet of purpose\-built industrial edge devices (EDGE), a data lake and web front\-end for data centralisation and visualisation (CONNECT), and targeted machine learning solutions (ML). **Role Overview:** We are looking for a skilled software engineer to join our EDGE team. As an EDGE Software Engineer you join a small team of senior software engineers to execute upon and refine the Edge product roadmap. This is a varied and fast\-paced role that will keep you on your toes. You will have the opportunity to deepen your knowledge of Linux systems, streaming frameworks, infrastructure management, and concurrent programming, to name a few. Many parts of the Edge stack pose unique technical challenges that don’t quite fit a typical Software Engineering role. Learning is a key part of our team, and we put a great focus on upskilling and orienting team members to make sure that they gradually become comfortable with the entire stack. We do in\-depth PR reviews with helpful feedback, and put a focus on code quality over delivery speed. **Roles and responsibilities will include, but are not limited to:** * Development of the Edge stack, a diverse set of tools and software that streams factory data to the cloud. The Edge stack has low technical debt, a high quality codebase and incorporates modern design principles. Unique challenges include: + Fully headless operation across a large fleet of devices + Low\-spec hardware requiring attention to performance optimisation and reliability + Stringent stability, correctness and security requirements + Transitioning seamlessly between offline and online operation * Architecting, deployment and maintenance of a highly diverse, asynchronous Edge fleet. Unique challenges include: + Automation and monitoring of many devices spanning the globe. + Unreliable connectivity, power and low bandwidth requires a highly reliable deployment pipeline + Fully remote managed fleet, requiring the development of unique solutions to ensure reliability of data streams + Diverse, in\-depth monitoring and alerting to allow a small team to manage a very large infrastructure + Development of a highly customised, hardened Linux\-based distribution with modern security features * Development of the Edge network and data ingestion pipeline. Unique challenges include: + Development of a high throughput, low latency data ingestion pipeline that has strong data delivery and strict security requirements + Development of the Edge VPN network, which needs to operate reliably and efficiently in a large variety of corporate networks via multiple protocols * Architecting, administration and management of the Edge Cloud Infrastructure. Requirements include: + Building solutions that can be replicated across multiple cloud environments + Highly automated deployments and...
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