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Lead Dotnet Developer

2 months ago

bangalore, India UST Full time

Designation : .Net Tech Lead

Experience : 5 + Years

Location : Bangalore

Tech Lead

1. C# Mastery: Advanced proficiency in C# programming language, encompassing its latest features, best practices, and integration with different frameworks and platforms.

2. Microservices Expertise: In-depth understanding and hands-on experience in designing, developing, deploying, and maintaining microservices-based applications. Mastery in service decomposition, API design, and inter-service communication within cloud environments.

3. Cloud Platform Competency: Strong knowledge of cloud platforms like AWS, Azure, GCP, etc., and deploying microservices in these environments. Utilizing cloud-native services for scalability, resilience, and effective resource management.

4. ASP.NET and .NET Core: Extensive experience in both ASP.NET and .NET Core for building web applications, APIs, and services. Proficiency in utilizing their features and libraries within microservices architecture.

5. GraphQL Implementation: Proficiency in designing, implementing, and consuming GraphQL APIs within microservices. Understanding how to integrate GraphQL into the architecture to streamline data queries across services.

6. Agile Scrum Methodology: Practical experience working in Agile Scrum teams, understanding Agile principles, participating in sprints, conducting and attending scrum ceremonies, and ensuring the team's adherence to Agile practices.

7. Scaled Agile Framework (SAFe) (if applicable): Familiarity with SAFe principles and practices, potentially leading or contributing to large-scale Agile transformations. Understanding roles, ceremonies, and artifacts within SAFe.

8. API Design and Management: Ability to design robust, scalable, and maintainable APIs using ASP.NET, .NET Core, and GraphQL, ensuring effective communication between microservices.

9. Database Management: Knowledge of working with databases within microservices architecture, including SQL and NoSQL databases, data consistency, partitioning strategies, and efficient data retrieval methods.