Middle/Senior Cloud Engineer (Azure ML Platform)

About the job About The Role In this role, you will design and operate scalable data and machine learning platform capabilities that support cloud-based analytics and ML solutions. You will work as part of a SoftServe engineering team delivering enterprise-grade platforms for one of the UK’s largest supermarket groups, contributing to the reliability, performance, and observability of data and ML services used at a nationwide scale. Responsibilities Design and develop scalable data and platform capabilities using Python, building data ingestion pipelines, DBT-based transformation frameworks, ML infrastructure components, monitoring solutions, and governance controls aligned with established technical standards Drive end-to-end ownership of data and ML platform reliability and performance, improving scalability, observability, and operational stability of cloud-based services and pipelines across environments Collaborate closely with data engineers, ML engineers, and platform teams to support the development, deployment, and monitoring of Python-based data processing and machine learning solutions Implement infrastructure as code using Terraform to provision and manage cloud resources that support scalable data and machine learning platforms across multiple environments Configure and manage cloud-based infrastructure and platform services, ensuring adherence to defined architecture patterns, security practices, and configuration standards Troubleshoot platform issues and implement improvements together with senior engineers, strengthening the stability and operational efficiency of data pipelines and ML services Integrate monitoring and observability solutions to track platform health, pipeline performance, and infrastructure utilization across distributed cloud environments Participate in technical discussions and platform design sessions, contributing to the evolution of standards, reusable patterns, and best practices for Python-based data and ML infrastructure Requirements Advanced Python skills and experience with building, testing, and maintaining scalable backend or data-oriented applications Strong proficiency with Azure Machine Learning for developing, deploying, and managing machine learning workloads in cloud environments Practical experience with Azure API Management (APIM) for designing, publishing, securing, and monitoring APIs Strong experience with Infrastructure as Code using Terraform for provisioning and managing cloud infrastructure Practical experience with GitHub Workflows for implementing CI/CD automation and repository-based development pipelines (nice-to-have) Hands-on experience with Azure Function Apps for developing serverless cloud solutions and event-driven services (nice-to-have) Working knowledge of Azure Storage Containers for managing and integrating cloud-based object storage solutions (nice-to-have) Practical experience with Terragrunt for managing and structuring Terraform configurations in complex environments (nice-to-have) Working proficiency with Bash scripting for automation, environment configuration, and operational tasks (nice-to-have) General knowledge of AWS cloud services and ecosystem concepts (nice-to-have) Practical familiarity with UNIX environments and common command-line utilities for development and operational workflows (nice-to-have) SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.