Cloud Solution Architect / Consultant

6-8 years of professional experience as a .NET Web Application Lead - Strong experience with C#, WCF, WPF, .NET platform libraries Windows Workflow (WF), SQL Server and Visual studio - Extensive .net, C# development experience, Silverlight 4.0, Entity Framework Experience - Experience with MS SQL Server, particularly Reporting, Analysis and Integration services - Team Foundation Server (TFS), - 5+ Years of SQL2005/2008 experience - Full life cycle software development in C# and.NET - Strong work ethic; Able to work in a fast paced environment. - Driven, self-motivated individuals with a strong desire to succeed Responsibilities: --NET Application development ( v4.0) with SQL server 2005 / 2008 on Microsoft Azure backend -Web application development through Silverlight 4.0, WCF and Azure technology -Experience in migrating on-premise Microsoft workloads to Azure -Experience with Enterprise Architect (EA) -Create high level design objectives, and review and critique software designs proposed by senior developers -Experience with a range of software lifecycle development practices especially Scrum and Agile methodologies -Producing efficient, standard, well-commented code; Review development across developers -Working through all User Interface, Application, and Database related issues and on-time bug fixes Experience: -5+ Years of Programming experience in Microsoft Technologies -designing applications for hosting on the Windows Azure platform -designing and developing Windows Azure applications -SQL Azure -Windows Azure AppFabric -Windows Communication Foundation -Internet Information Services (IIS) -web applications development -identity management -Test driven development and Lean methodologies Skills: -experience of various Cloud service models and service model architectures -the synchronization of data -the security implications of Cloud-based applications as well as the data storage options available -Knowledge of resource allocation, potential cost impact of different architectural decisions, -the deployment models and upgrading -migrate existing applications, services, and data --diagnostics and health of applications and services -Integrate Windows Azure applications with external resources -Designing Data Storage Architecture Choose the appropriate data storage model based on technical requirements. This objective may include but is not limited to: SQL Azure, Cloud drive, performance, scalability, accessibility from other applications and platforms, Windows Azure storage services: blobs, tables, and queues; -Design a synchronization strategy. This objective may include but is not limited to: synchronize online and offline data by using sync framework and SQL Azure Sync service Plan a cost-effective data architecture based on business requirements. This objective may include but is not limited to: code migration cost, data migration cost, bandwidth cost -Design a database migration plan from SQL Server to SQL Azure. This objective may include but is not limited to: differences between SQL Azure and SQL Server, concessions for unsupported features, schema, data, reporting an analytic tooling -Plan for media storage and accessibility. This objective may include but is not limited to: media accessibility, global distribution with Content Delivery Network (CDN), blob storage Optimizing Data Access and Messaging -Optimize a data access strategy. This objective may include but is not limited to: batch operations and performance techniques, data latency due to location, saving bandwidth cost -Design a reliable data access layer to access SQL Azure. This objective may include but is not limited to: define client data access standards, connection timeout scenarios -Design an efficient strategy to avoid data access throttling. This objective may include but is not limited to: table storage, partition, transaction volumes, SQL Azure CPU throttling, query design -Design a queue strategy that guarantees idempotency. This objective may include but is not limited to: multiple processing, multiple consumers, long-running processes -Design communication strategies using queues. This objective may include but is not limited to: asynchronous mess