Cloud Architecture & Databricks Engineer (AWS)

TL;DR

Cloud Architecture & Databricks Engineer (AWS): Designing and managing scalable cloud infrastructure and data platforms on AWS with an accent on Databricks orchestration, Terraform automation, and hybrid networking. Focus on building automated CI/CD pipelines, optimizing IAM security, and implementing AI-powered development workflows.

Location: Must be based in the European Union region and possess a valid work permit

Company

hirify.global is a global AI-first digital transformation and engineering partner specializing in AI, Data, and Cloud solutions for high-profile global clients.

What you will do

• Design and implement scalable AWS infrastructure and high-level cloud architecture.
• Manage and configure Databricks on AWS, focusing on its internal architecture and components.
• Automate infrastructure deployment using Terraform for Infrastructure as Code (IaC).
• Develop and maintain CI/CD pipelines, specifically utilizing Databricks Asset Bundles (DAB).
• Configure and optimize networking for hybrid environments spanning on-prem and cloud.
• Manage identity and access (IAM) across both AWS and Databricks platforms.

Requirements

• Strong hands-on experience with AWS architecture.
• Mandatory expertise in Terraform for Infrastructure as Code.
• Robust knowledge of networking concepts in hybrid environments.
• Experience in setting up and managing Databricks on AWS.
• Solid understanding of IAM in both AWS and Databricks.
• Must be based in the European Union region and have a valid work permit

Nice to have

• Experience applying GenAI in the SDLC, including prompt patterns and tool integrations.
• Familiarity with agent-based workflows and AI-augmented development.
• Knowledge of Microsoft Azure.
• Experience with general CI/CD pipelines and automation tools.

Culture & Benefits

• People-first culture with a strong emphasis on engineering excellence.
• Consulting mindset focused on continuous growth and knowledge sharing.
• Opportunity to work with prestigious clients such as Spotify, Disney, and McLaren.
• Productivity boost through the use of AI-powered assistants like Claude Code, GitHub Copilot, and Cursor.

Hiring process

• CV review.
• HR introductory call.
• Technical interview.
• Client interview.
• Final decision.