Cloud Architecture, Databricks Engineer

RecruityTalent

Role as a Cloud Architecture & Databricks Engineer with RecruityTalent. Focus on developing scalable AWS infrastructure and automation practices.

Posted 7/17/2026full-timeRemote • 🇧🇬 BulgariaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AWS architecture and Databricks management, with a strong focus on Terraform for Infrastructure as Code and CI/CD pipeline development. Proficient in automating infrastructure tasks and leveraging AI-driven practices to enhance software delivery.

Highest-signal resume keywords

AWS ArchitectureDatabricks ManagementTerraform ExpertiseCI/CD Pipeline DevelopmentNetworking Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWS Infrastructure ManagementDatabricks ArchitectureInfrastructure as CodeCI/CD Pipeline DevelopmentIAM KnowledgeNetworking ConceptsCode MigrationAI-Powered AssistantsAutomation PatternsAgent-Based Workflows

Tools & Technologies

TerraformDatabricksAWSClaude CodeGitHub CopilotCursor

Industry Keywords

Cloud ArchitectureHybrid EnvironmentsAI-Driven Software DevelopmentInfrastructure AutomationEmerging AI Practices

Tech Stack

Tools & technologies

AWSCloudTerraform

About the role

Key responsibilities & impact

Cloud Architecture & Databricks Engineer role
Develop and manage AWS infrastructure
Create and manage Databricks on AWS
Collaborate with teams on AI-driven software development practices
Automate infrastructure and networking tasks
Build CI/CD pipelines for Databricks

Requirements

What you’ll need

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
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
Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery
Interest in emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development)

Benefits

Comp & perks

GDPR-compliant confidentiality standards
Secure candidate information management
Compliance with industry standards and legal requirements
Trust in the hiring process