R&D Cloud Engineer (m/w/x): High-Performance Data Lake Replication

Are you interested in developing, delivering and operating an industry-leading cloud-based data replication product that is essential for the key financial players worldwide? 

Do you like working with cutting-edge Open-Source and cloud technologies? 
Are you passionate about bringing in your expertise and developing your career as part of an international team that truly lives an innovative and agile development culture? 
Are you keen on constantly learning and improving your technical and soft skills along your career path? Are you thrilled by the idea of innovating, growing, and collaborating on the latest cloud technology trends?  

 
Then you should join us in the Cloud-based IBM Db2 Data Gate and IBM Db2 Analytics Accelerator team! 

 Step in and be part of Germany's IBM Research & Development Lab community, with its outstanding reputation for innovation, patents and its inclusive team spirit. Share the responsibility for one of the broadest project portfolios of hardware and software technologies within the IBM Corporation. 

 We are looking for cloud engineers who are highly motivated about developing innovative, hybrid cloud solutions that paves the way for our large-enterprise customers on their journey to the Cloud. You will have the opportunity to develop, operate and drive a technology that seamlessly integrates Mainframe IBM Z data in Cloud applications in a most efficient and performant way. 

 Cloud Engineers in our team work inside a highly agile, global development environment and are responsible for the full life cycle of our Cloud-based product offering – ranging from the design and implementation of new features and automations of the delivery process to testing for industry-leading quality assurance, continuous deployments and best-of-breed operation and support of our global enterprise customers.  

You should be thrilled by emerging technologies, such as Cloud and Artificial Intelligence, to open our Cloud Offering for future hybrid Mainframe- and Cloud-based data analytics markets.