Aufgaben
Azure Python DevOps Engineer
Keywords: Microsoft, Azure, DevOps, Python, REST, OpenAPI, Microservice, Gherkin
Hey, do you want to change the world? Build #TheNextBigThing? Which means implementing ideas that are said to be unachievable? Like it was stated at first about smart chatbots or artificial intelligence. At MBRDI you are dealing with questions, for which there are no answers. Not yet.
About Us
The Corporate Center of Excellence (CoE) for AI, Advanced Analytics and Big Data is working on #TheNextBigThing. Besides conducting cool use cases in the field of Data Analytics and AI, we are inventing, building and running eXtollo– a data analytics cloud platform based on Microsoft Azure for Daimler teams around the world. Our users trust in the cross-divisional platform to create secure and scalable cloud applications based on Machine Learning, Artificial Intelligence & Big Data technologies. In addition to the provisioning and utilization of the technology we are also responsible for Daimler’s data treasure – the eXtollo Data Lake.
Role
We are searching you as a DevOps Engineer to continuously improve eXtollo within an agile working environment and reduce the complexity of cloud components into an integrated, easily manageable service for our users. As Lead Azure DevOps Engineer you will review the work of other engineers, discuss technical requirements with our platform architects and implement test-driven solutions using CI/CD pipelines.
Your first challenge will be to design and implement a Python-based Microservice architecture, which evolves our service into a collaborative, API-based platform. You will select tools and frameworks, define interfaces and manage the Microservices’ lifecycle.
Responsibilities
Job Qualifications
Qualifications
– Advanced experience with at least one of the following topics:- Infrastructure-as-code development
Test-Driven Development
Preferred Qualifications
Qualifikationen
Azure Python DevOps Engineer
Keywords: Microsoft, Azure, DevOps, Python, REST, OpenAPI, Microservice, Gherkin
Hey, do you want to change the world? Build #TheNextBigThing? Which means implementing ideas that are said to be unachievable? Like it was stated at first about smart chatbots or artificial intelligence. At MBRDI you are dealing with questions, for which there are no answers. Not yet.
About Us
The Corporate Center of Excellence (CoE) for AI, Advanced Analytics and Big Data is working on #TheNextBigThing. Besides conducting cool use cases in the field of Data Analytics and AI, we are inventing, building and running eXtollo– a data analytics cloud platform based on Microsoft Azure for Daimler teams around the world. Our users trust in the cross-divisional platform to create secure and scalable cloud applications based on Machine Learning, Artificial Intelligence & Big Data technologies. In addition to the provisioning and utilization of the technology we are also responsible for Daimler’s data treasure – the eXtollo Data Lake.
Role
We are searching you as a DevOps Engineer to continuously improve eXtollo within an agile working environment and reduce the complexity of cloud components into an integrated, easily manageable service for our users. As Lead Azure DevOps Engineer you will review the work of other engineers, discuss technical requirements with our platform architects and implement test-driven solutions using CI/CD pipelines.
Your first challenge will be to design and implement a Python-based Microservice architecture, which evolves our service into a collaborative, API-based platform. You will select tools and frameworks, define interfaces and manage the Microservices’ lifecycle.
Responsibilities
Job Qualifications
Qualifications
– Advanced experience with at least one of the following topics:- Infrastructure-as-code development
Test-Driven Development
Preferred Qualifications
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