Cloud Architect – IoT & Analytics

Mobility goes digital. The Mobility Division is the world’s leading provider of mobility solutions that enable the efficient, safe and environmentally friendly transportation of people and goods – and help improve the quality of everyday life for millions of people on all continents.

Driven by innovation, we develop intelligent solutions for the increasing digitalization of the transport sector. Our range of offerings includes rail vehicles, rail automation, road traffic management systems and rail electrification. Our data-driven services offer customers value-added that is unique, and not only in our industry. We call this Ingenuity for Life.

As part of this transformation we are expanding our cloud computing capabilities. We are a young and innovative team working in an Agile setting looking for strong and motivated candidates that are eager to step up and be part of the shaping ofthe transportation of tomorrow.

Your new role – challenging and future-oriented:

• You will be the architect defining the backend, data handling, and database communications to extend our cloud computing capabilities
• Keep up to date with the newest trends and innovations and develop these solutions in-house
• Ensuring a consolidated and uniform architecture across the various projects
• Integration of various services and development of the interfaces Knowledge transfer across the development team

Your skill set:

• Bachelor or Master degree in computer science or similar fields
• Strong knowledge of cloud platforms. AWS is a requirement.
• Strong programming skills with several years of industry experience.
• Strong knowledge of big data handling and data bases.
• Strong knowledge of distributed computing (Spark, Blaze, …)
• Experience with continuous integration, continuous delivery and automation processes / DevOps (on AWS an advantage)
• Experience with development on Linux platforms
• Experience with security topics a great advantage
• Knowledge of data analytics, statistics and machine learning algorithms an advantage