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.