OBS! Ansökningsperioden för denna annonsen har
passerat.
Arbetsbeskrivning
At Alfa Laval, we always go that extra mile to overcome the toughest challenges. Our driving force is to accelerate success for our customers, people and planet. You can only achieve that by having dedicated people with a curious mind. Curiosity is the spark behind great ideas. And great ideas drive progress.
As a member of our team, you thrive in a truly diverse workplace based on empowerment. You are here to make a difference. Constantly building bridges to the future with sustainable solutions that have an impact on our planet’s most urgent problems. Making the world a better place. Every day.
Who you are
We are looking for a person who embraces the many possibilities within digitalization and who is willing to embark on an exciting new journey. You should not be afraid to ask tough questions and think outside the box.
We are looking for a curious self-motivated team player, who is eager to contribute to further improve our systems. It is essential that you thrive being part of a change and is motivated by working broadly, from sensor to user interface.
About the job
Based in our Innovation House in Søborg, you will work with the IoT Platform Team on developing our Cloud Native IoT Infrastructure. This includes designing and building the platform. You will write software that captures data from IoT devices and write data pipelines to store, cleanse and process the data in the Cloud. You will create the platform that holds the data for all Alfa Laval´s applications and analytics. Furthermore, you will create best practices in security, logging and monitoring of the platform and its applications.
What you know
Strong experience working in ASP.NET Core 3.0 is a prerequisite in this position and knowledge about Python and/or Node is desired
Experience working with distributed systems and multithreaded applications
Experience with designing, implementing, deploying and maintaining cloud-native and microservices based architectures
Good understanding of Time Series Data and NoSQL databases