The Mission:

As the Dev-Ops Engineer, this means that you control both the design phase and the actual development and testing of applications. You understand the entire stack and you can bring applications into production and resolve incidents. You can contribute to completion of all activities in the backlog. 

In the Tribe structure, you are part of an ambitious and highly motivated squad with an Agile way of working. You work together with colleagues from other areas of expertise and take initiative in expanding knowledge (both within and outside of your area of expertise) that is relevant for the Tribe in which you work. Where possible, you take on tasks/activities that contribute to the mission, even when they are not entirely within your area of expertise. 

The Agile way of working:

• People and interactions over processes and tools.
• Functional propositions over comprehensive documentation.
• Collaboration (with the customer) over contract negotiations.
• Responding to change over following a plan.

Your Day-to-Day:

• Building and maintaining a large-scale data platform (including components from the wider BigData ecosystem) to support multiple business requests; 
• Implementing new data platform functionalities including metadata frameworks, integrating and engineering new technologies; 
• Install, maintain and administer containerized applications running on OpenShift clusters; 
• Engineering a global deployment pipeline responsible for data platform build-release process;  
• Enhancing a maintainable and scalable test automation strategy and implementing this together with the team with suitable tooling; 
• Building out our data infrastructure, in terms of scalability and availability, with an additional focus on ensuring data integrity; 
• Design and integrate new modules to continuously improve the services towards data owner parties; 
• Work on private and public cloud; 
• Collaborate with feature engineers and architects in order to understand and challenge our architecture paradigms, contribute to services and components design;  
• Explore and be open to learn and use new programming languages/novel technologies.