MindBrainPython & Azure Cloud Engineer
The ideal candidate should have practical experience in cloud database management, Azure services, application development, deployment, and troubleshooting. Candidates must also demonstrate strong project ownership and be able to clearly explain their individual contributions, technical decisions, challenges, and solutions during the interview.
Design, deploy, and manage cloud-based solutions on Microsoft Azure.
Manage and maintain cloud databases, including performance monitoring, optimization, backup, security, and troubleshooting.
Work with Azure services for application deployment, integration, monitoring, and infrastructure management.
Develop reusable, scalable, and maintainable Python code.
Troubleshoot application, database, and cloud-related issues.
Collaborate with developers, architects, DevOps engineers, and other stakeholders to deliver projects successfully.
Participate in deployment, release management, and production support activities.
Follow cloud security, governance, and best practices.
Monitor system performance and identify opportunities for optimization and cost efficiency.
Document technical solutions, processes, and project implementations.
3–4+ years of relevant experience in Microsoft Azure
Hands-on experience in Azure Cloud services
Experience with cloud application deployment and support
Good understanding of REST APIs and integrations
Strong debugging and problem-solving skills
Good communication and stakeholder management skills
Knowledge of Azure Storage, Azure Functions, Azure App Service, Azure Key Vault, Azure Monitor, or similar Azure services
Experience with CI/CD and DevOps practices
Knowledge of Git and version control
Familiarity with cloud security and access management
Experience working in Agile/Scrum environments
Interested in this role?