Cloud Engineer (Azure ML)

TL;DR

Cloud Engineer (Azure ML): Designing and operating scalable data and machine learning platform capabilities for a large UK retail group with an accent on Azure ML, Terraform, and Python-based data pipelines. Focus on improving platform reliability, observability, and implementing infrastructure as code to support nationwide ML services.

Location: Ukraine (Remote/Office)

Company

hirify.global is a leading global digital transformation company providing enterprise-grade platform and engineering services.

What you will do

• Design and develop scalable data and platform capabilities using Python and DBT-based transformation frameworks.
• Drive end-to-end ownership of data and ML platform reliability, improving scalability and operational stability.
• Implement Infrastructure as Code using Terraform to provision and manage cloud resources across multiple environments.
• Collaborate with data and ML engineers to support the deployment and monitoring of Python-based solutions.
• Integrate monitoring and observability solutions to track platform health and infrastructure utilization.
• Contribute to technical design sessions and the evolution of reusable patterns for ML infrastructure.

Requirements

• Advanced Python skills for building, testing, and maintaining scalable backend or data-oriented applications.
• Strong proficiency with Azure Machine Learning for managing ML workloads in cloud environments.
• Practical experience with Azure API Management (APIM) for designing and securing APIs.
• Strong experience with Terraform for provisioning and managing cloud infrastructure.
• Must be based in Ukraine.

Nice to have

• Experience with GitHub Workflows for CI/CD automation.
• Hands-on experience with Azure Function Apps and Azure Storage Containers.
• Practical experience with Terragrunt for managing complex Terraform configurations.
• Working knowledge of Bash scripting and UNIX environments.
• General knowledge of AWS cloud services and ecosystem.