Cloud Engineering

Cloud Engineer:

We are seeking a skilled Cloud Engineer with 5-9 years of experience to enhance our team. The ideal candidate will have a robust background in .NET and Azure Functions, with a focus on resource optimization and best practices. The candidate should also possess strong expertise in Key Vaults, certificate lifecycle management, SignalR, Microsoft Graph API, and MongoDB. A passion for code optimization and the ability to quickly adapt to new technologies are essential.

Key Responsibilities:

- Design, develop, and maintain cloud-based applications using .NET and Azure Functions.

- Optimize resource usage in Azure to ensure efficient operation and cost-effectiveness.

- Implement and manage Azure Key Vaults for secure storage and lifecycle management of certificates and secrets.

- Utilize SignalR for real-time web functionalities and integrate Microsoft Graph API for enhanced application features.

- Work with MongoDB to manage and optimize database performance and scalability.

- Collaborate with cross-functional teams to gather requirements and design solutions that meet business needs.

- Conduct code reviews and apply code optimization practices to enhance performance and maintainability.

- Stay updated with emerging technologies and industry trends, and evaluate their potential application within the organization.

- Provide technical support and mentorship to junior team members. 

Qualifications:

- 5-9 years of experience in cloud engineering or a related field.

- Proficiency in .NET development and Azure Functions.

- Strong knowledge of Azure Key Vaults and certificate lifecycle management.

- Experience with SignalR and Microsoft Graph API integration.

- Familiarity with MongoDB and best practices for database management.

- Demonstrated expertise in code optimization techniques and performance tuning.

- Strong problem-solving skills and the ability to learn new technologies rapidly.

- Excellent communication and collaboration skills.

- Experience with DevOps practices and tools.

- Knowledge of containerization technologies (e.g., Docker, Kubernetes).

- Familiarity with CI/CD pipelines and automated testing.