Extia

DevOps engineer in Data and AI

In short

This remote DevOps Engineer role at Extia focuses on automating, integrating, and deploying Data, AI, and software engineering solutions across GCP and AWS environments. The company works with international teams (3,000+ employees in Europe and Canada) and requires fluency in Spanish and English plus comprehension of Catalan. Candidates need experience with GCP, AWS, BigQuery, ETL processes, and knowledge of SAP/Salesforce integration.

About the Role
Are you looking to join a company that values a people-centered culture, innovation, and well-being at work? At Extia, our motto is "First who, then what." We prioritize people and teamwork to deliver high-impact solutions. At Extia, we are looking for a DevOps Engineer (AI & Data) to work with Data, Artificial Intelligence, and Software Engineering teams, contributing to the automation, integration, and deployment of technology solutions in production environments.
Responsibilities
•Design, automate, and maintain deployment processes for applications and data and artificial intelligence solutions.
•Work with cloud infrastructures, mainly Google Cloud Platform (GCP), and collaborate in AWS environments.
•Participate in managing and optimizing data flows using BigQuery and ETL processes.
•Facilitate integration between platforms and systems, including SAP, Salesforce, and cloud services.
•Collaborate with the Data, Artificial Intelligence, and Software Engineering teams to ensure the successful integration and production deployment of their solutions.
•Improve automation, deployment, and operations processes, promoting efficiency, scalability, and reliability across environments.
•Support the operation of technology solutions and contribute to the continuous improvement of DevOps processes.
Requirements
•Fluent Spanish, fluent English, and comprehension of Catalan.
•Experience in cloud environments, especially Google Cloud Platform, and knowledge of AWS, BigQuery, and ETL processes.
•Knowledge of SAP and Salesforce.
•Knowledge of Data and Artificial Intelligence environments.
•Collaboration with software engineering teams.
Nice to Have
•Experience in Artificial Intelligence and Data projects will be especially valued, as will knowledge of technology ecosystems that integrate SAP, Salesforce, and cloud services.
Conditions & Benefits
•An environment that seeks to promote work-life balance.
•A personalized training plan: opportunities to develop your skills and continue growing professionally.
•Triple Follow-up: support throughout your career.
•A competitive benefits package.
•An international environment: more than 3,000 employees in Europe and Canada.
•Great Place to Work: a culture centered on people and well-being.
•Events, after-work gatherings, and an active community: opportunities to share experiences and connect with other professionals.

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