Job
- Level
- Experienced
- Job Field
- DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Karlsruhe
- Working Model
- Onsite
Job Technologies
Your role in the team
- Operation and further development of our business intelligence cloud platform
- Administration of a highly available and scalable BI server landscape based on Linux & Windows
- Expansion of our automation solutions based on, for example, Automic, Puppet, Gitlab CI/CD
- Orchestration and further development of our cloud infrastructure (Azure, GCP, Terraform, Snowflake, Matillion, and many more)
- Monitoring and performance optimization of the systems
- Realization of projects as a technical project manager
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Our expectations of you
Education
- A completed degree in computer science, business informatics or comparable, training as an IT specialist or a lateral entry with several years of professional experience in the server and cloud administration environment
Qualifications
- Knowledge in the development and orchestration of cloud infrastructures
- Passion and enthusiasm for new technologies and topics related to BI, servers, Linux and cloud (Azure & GCP)
- The ability and willingness to continually face new challenges and to shape and advance topics independently
- Strong communication skills in German (at least B2)
Experience
- Experience in dealing with Linux & Windows based systems, ideally in the environment of MicroStrategy servers, web servers and databases
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Benefits
More net
Work-Life-Integration
Job Locations
Location Karlsruhe
Baden-Württemberg
Germany
This is your employer
dmTECH
We are dmTECH, the IT subsidiary of dm-drogerie markt, and develop intelligent solutions for our online store dm.de, checkout systems, the Mein dm app, logistics systems and much more.
Description
- Company Size
- 250+ Employees
- Founding year
- 1988
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade, Internet, IT, Telecommunication
Cloud Platform Engineer DevOps BI
- Location
- Karlsruhe
- Working Model
- Onsite
