About the Knowledge Center:
The Knowledge Center, located in Gdańsk, is a hub for innovation and develop state-of-the-art business and technology solutions to help us navigate the future. And we want to do that together with you.
Team and Project overview:
We are on the Mission of building a world class AI Team capable of supporting a world class shipping company like Hapag Lloyd to stay best in class with intelligent customer centric services. You are passionate about Cloud Solutions, AI and Big Data? Then come on board, we have real business cases with demand for distributed cloud scalability, waiting for you to bring them to life.
Responsibilities:
- As a Cloud Engineer, you’ll build and operate the Cloud Infrastructure for each AI Module
- As a DevOps Engineer, you will be responsible of the Deployment process by implementing and operating the required CI/CD pipelines.
- You will be the key player in building the generic, standardized and highly reusable platform of the Hapag Lloyd Data Science Development and Analysis Stack composed of Tools, Services and Modules, to enable the AI Team as well as Business- and System- Analysts to continuously improve time to market a
- nd cost efficiency of AI Solutions.
- You are a key player in establishing and managing the AI Cloud Services Platform with a clear and understandable architecture and process concept, ready to operate several AI Modules at scale.
Requirements:
Most important is your experience, your attitude and your hunger for state of the art Cloud Application development and AI Solutions. A bachelor’s or master’s degree in computer science or other scientific area is preferred
- You will need minimum 5 years of enterprise level Cloud Engineering and Software Engineering experience with DevOps involvement.
- You should be fluent in python, SQL, GIT, AWS, terraform, Relational and NoSQL DBMS as well as decoupled and event driven system architectures.
- In AWS, you should be proficient handling IAM configurations, Lambdas, SQS, DyndDB, CodeBuild, S3, Fargate, APIGateway, VPC and all other std. AWS Resouces.
- Hands-on Experience with AWS Sagemaker is welcome.
- You’ll need to be able to understand, explain and discuss complex topics in fluent English.
- As a senior cloud DevOps engineer you feel responsible to support and enable your team colleagues
We offer: