Senior Cloud Automation Developer

Introduction & Summary The Cloud Automation Developer plays a pivotal role in the advancement of cloud automation and self-service capabilities on the Enterprise Cloud (SGEC) platform. This position requires a blend of software, cloud, and platform engineering skills, with a focus on automating the provisioning and management of Azure resources while ensuring operational efficiency and security. The ideal candidate possesses at least 5 years of experience in a global company environment and is well-versed in modern platform engineering practices. Main Responsibilities Core duties include developing reusable automation solutions for cloud services and streamlining operations across multiple teams. Responsibilities include: - Creating Infrastructure as Code modules for Azure resources. - Designing self-service applications and APIs to enhance cloud consumption. - Implementing automated CI/CD workflows for infrastructure and application updates. - Ensuring security and governance in all delivery patterns. - Providing operational support for cloud services and automating data processing tasks. - Running deployment tests and ensuring operational readiness of solutions. Key Requirements To be considered for this role, candidates must have: - Extensive knowledge of Microsoft Azure and public-cloud architecture. - Experience with Infrastructure as Code using Terraform. - Strong background in CI/CD workflows using GitHub Actions or equivalent. - Proficiency in full-stack software development including Java/Spring and JavaScript/TypeScript. - Understanding of cloud security, identity management, and governance best practices. - Capability to integrate APIs and services across platforms. - Automated testing and quality engineering skills. - Experience in scripting and operational automation using PowerShell or equivalent tools. - Knowledge of monitoring and production operations practices. Nice to Have Familiarity with the following skills is desirable: - Container and Kubernetes technologies (specifically AKS). - Experience with data processing and analytics services such as Azure Data Factory and Databricks. - Working knowledge of AI and machine learning services in Azure. Other Details This position is focused on delivering enterprise-scale Azure environments and is positioned within a global Cloud Services organization. Candidates should expect to engage with a diverse range of cloud automation projects, contributing to a continuously evolving platform. The role is fully remote-friendly with flexible working arrangements.