AWS DevOps Engineer - Data Science

Ryanair | Madrid | apply.workable.com |
Ryanair Labs is the technology brand of Ryanair. Labs is a state of-the-art digital & IT innovation hub creating Europe's Leading Travel Experience for our customers. The Ryanair platform has over 1 billion visits per year. By joining Ryanair, you will develop cutting edge tech solutions inside Ryanair, transforming aviation for Pilots, Cabin Crew & Ground Ops, as well as driving the tech experience for our customers on Europe’s largest travel website!

Ryanair Labs has more than 550 employees across our offices in Dublin, Madrid, Poland, and Portugal. Our plan is to continue to grow our IT Labs Team so we are always on the lookout for the best talent. Apply today for more information.

The Role

The Data Team is currently seeking a highly motivated individual to join our Cloud Engineering team as an AWS DevOps Engineer for a permanent position based in our Madrid HQ. This is a hands-on role where you will play a pivotal role in designing, implementing, and managing CICD pipelines specifically tailored for data science projects.

Your tasks will include
 •  Developing and maintaining CI/CD pipelines for data science projects using AWS services (e.g., AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy) and relevant data processing tools.
 •  Collaborate with data scientists to understand their requirements for data processing, model training, and deployment, and provide solutions.
 •  Automate data workflows and integrate data science and machine learning code into production systems.
 •  Managing and optimizing our cloud infrastructure on AWS, closely monitoring resource usage, and implementing cost-saving measures to ensure efficient utilization of resources and optimal cost-effectiveness.
 •  Analysing and optimizing various infrastructure components to enhance scalability, improve system response times, and deliver an exceptional user experience.
 •  Facilitate the creation of development, staging, and production environments for data science projects using Infrastructure as Code (IaC) practices.
 •  Proactively staying up to date with the latest cloud trends, technologies, and assessing new service offerings to identify potential opportunities to improve our data science lifecycle.
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