Dot Net Engineer/ Sr. Engineer

Job Overview: 

The position requires an experienced and ambitious candidate who is passionate about technology and is self-driven. We have an energetic workplace where we welcome innovative ideas and offers growth opportunities and positive environment for accomplishing goals. Our purpose is to create abundance for everyone we touch. 

Responsibilities:

• Ability to code and implement front end web applications and backend processing systems. 
• Research, evaluate, and prototype new methodologies, technologies, Prepare proof-of-concepts. 
• Convert business requirements into technical documentation using UML diagrams. 
• Accountable for peer review, and quality using various design principles and patterns. 
• Responsible for team members learning.
• Enforce to follow Secure Coding guidelines.
• Provide clear communication and set expectation to team members. 
• Assist Project Manager in defining and refining project scope and work. 
• Foreseeing the project risk and define mitigation plan and keep the manager updated. 

Skills Required: 

• Multi-tier Web Services / RESTful APIs using .NET technologies (C#, ASP.NET Core).
• Experience with Entity Framework Core for data access and management.
• Experience with server-side templating and Razor pages in ASP.NET for dynamic content generation would be beneficial.
• Understanding and usage of unit testing frameworks like NUnit and XUnit.
• Hands on experience on Visual Studio.
• Experience in PowerShell is advantageous.
• Proficiency in one or more Frontend JavaScript Frameworks, including ReactJS, Angular, or VueJS.
• Working knowledge of HTML5, CSS3, and JavaScript/TypeScript for building responsive and dynamic user interfaces.
• Knowledge of SQL and writing queries.
• Familiarity with Agile and DevOps methodologies.
• Well-versed with version control systems like Git, GitLab, Bitbucket, etc.
• Familiarity with Microservices architecture is a plus.
• Exposure to cloud services such as Azure, AWS, or Google Cloud Platform is advantageous.
• Experience or interest in integrating AI/ML solutions into applications is a valuable asset.