What is a Dotnet with Cloud (AWS, Azure & GCP) Job?
A Dotnet with Cloud (AWS, Azure & GCP) job involves developing, deploying, and maintaining .NET applications on cloud platforms like AWS, Azure, and GCP. Professionals in this role integrate .NET solutions with cloud services, optimize performance, and ensure scalability and reliability.
Dotnet with Cloud (AWS, Azure & GCP) Job role
Dotnet Cloud Developer
- Specializes in developing and deploying .NET applications on cloud platforms like AWS, Azure, and GCP.
- Utilizes cloud services such as AWS Lambda, Azure Functions, and Google Cloud Functions for serverless computing.
- Implements DevOps practices for continuous integration, deployment, and monitoring of .NET applications on the cloud.
Dotnet Cloud Solution Architect
- Designs scalable and resilient cloud architectures for .NET-based applications on AWS, Azure, and GCP.
- Defines deployment strategies, including containerization with Docker and orchestration with Kubernetes, for .NET applications in the cloud.
- Provides guidance on cloud-native development best practices and cost optimization techniques for .NET workloads.
Dotnet Cloud DevOps Engineer
- Manages and automates the deployment, scaling, and monitoring of .NET applications on cloud platforms.
- Implements infrastructure as code using tools like AWS CloudFormation, Azure Resource Manager, and Google Cloud Deployment Manager.
- Works on optimizing performance, reliability, and cost-efficiency of .NET applications running in cloud environments.
Dotnet Cloud Security Engineer
- Implements security controls and measures to protect .NET applications and data hosted on cloud platforms.
- Conducts security assessments, vulnerability scans, and penetration tests to identify and mitigate security risks.
- Ensures compliance with industry standards and regulatory requirements for .NET applications in the cloud.
Dotnet Cloud Data Engineer
- Designs and implements data pipelines and analytics solutions for .NET applications on cloud platforms.
- Integrates .NET applications with cloud-native data services like AWS S3, Azure SQL Database, and Google BigQuery for data storage and processing.
- Works on data migration, transformation, and visualization to support business intelligence and decision-making.
Dotnet Cloud AI/ML Engineer
- Develops AI/ML models and applications using .NET frameworks and cloud-based machine learning services.
- Utilizes cloud platforms’ AI/ML capabilities such as AWS SageMaker, Azure Machine Learning, and Google Cloud AI Platform.
- Implements AI/ML solutions for tasks like predictive analytics, natural language processing, and computer vision in .NET applications on the cloud.