DevOps / Platform Engineer

📋 Description

• Participate in Data Science projects with Data Scientists, Data Engineers and Software Engineers
• Lead automation, distributed computing, cloud services, and production maintenance of data-driven
• Contribute to technological, architectural and governance decisions for scalable data projects
• Work on Cloud Services: architecture choices, storage/calculation services, cost tracking, access
• Containerization and Kubernetes orchestration for data workloads
• Python server-side tooling, automation scripts, and microservices development

🎯 Requirements

• Engineering school background or high-level IT education; first experience in DevOps, Cloud
• Strong Python skills for backend projects
• Docker containerization experience
• Experience with at least one Cloud platform (GCP, AWS, Azure)
• Terraform or IaC tools familiarity is a plus
• Experience with CI/CD and automation; interest in Kubernetes development

🎁 Benefits

• Dynamic, collaborative culture with a focus on excellence, entrepreneurship and innovation
• Opportunities to grow in Data and AI topics within a consulting environment
• Supportive team that values work-life balance
• Participation in challenging, industry-facing projects