Required Skills & Experience
The candidate must demonstrate:
• Strong hands-on experience with AWS architecture
• Mandatory expertise in Terraform for Infrastructure as Code
• Robust knowledge of networking concepts in hybrid (on-prem & cloud) environments
• Experience in setting up and managing Databricks on AWS
• Solid understanding of Databricks architecture and components
• Strong knowledge of IAM in both AWS and Databricks
Key competencies:
• Terraform-based infrastructure and network automation
• In-depth knowledge of Databricks
• Development of CI/CD pipelines (e.g., Databricks Asset Bundles – DAB)
• Support for code migration across platforms and environments
Focus: platform development, automation, and the creation of a scalable, well-structured
AWS infrastructure.
Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work.
Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.
Knowledge of Microsoft Azure
Experience with CI/CD pipelines and automation tools
CV review – HR call – Interview – Client Interview – Decision
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
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