Experience: 10-15 Years
Type: Full Time
Location: Indore
Notice-period: Immediate/15 days
Budget: Upto 25 LPA
Technology: IT
Responsibilities:
- Apply technical knowledge to architect solutions that meet business and IT needs, create and modernize Data Platform, Data Analytics and AI roadmaps, and ensure long-term technical viability of new deployments, infusing key analytics and AI technologies where appropriate – Azure ML, Cognitive Services, Azure Logic apps, Serverless, Service Bus, Blob Storage, and related Azure Technologies.
- Experience or knowledge with managed services/purchased applications implemented in a cloud-first environment and/or integration of multiple managed services.
- Possess the technical aptitude and experience to learn new technologies and understand relevant cloud trends.
- Experience with Power Platform – Power Apps / Power Automate / Power BI.
- Hands-on experience creating Proof of Concepts, Minimum Viable Products (MVPs) that lead to production deployments.
- Proficiency in Modern UI Frameworks – Angular, HTML5, CSS with Responsive Design.
- 10+ years’ experience with .NET, C#.
- 2 – 3 years’ experience with ASP.NET Core MVC / Web API, .NET 5/6.
- Knowledge of Security principles, authentication, authorization, and encryption.
- Experience or knowledge in Data Architecture and Data Science is a plus.
- Experience or comfort operating in a distributed, non-homogeneous technology environment.
- 2+ years of experience with .NET Core.
- 3+ years of experience with MS SQL Server.
- 3+ years of experience with web development projects, including proficiency with JSON, REST API, HTML, CSS, JavaScript, ASP.NET, IIS. Should be able to provide a portfolio of past work.
- Experience with multiple Authorization and Authentication techniques such as OAuth, SAML, and OpenID.
- Familiarity with client-side frameworks like jQuery | Angular 1.x | Angular 2.*+
- Good knowledge in Git tools and Git check-in flow.
- Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, appropriate reusability, and reliability upon deployment.
