Sr .Net Backend Cloud Azure Developer FIOLABS.AI
FIOLABS.AI
Office Location
Full Time
Experience: 10 - 10 years required
Pay:
Salary Information not included
Type: Full Time
Location: All India
Skills: C, Microsoft Azure, Docker, PostgreSQL, NET Framework, ASPNet, RESTful Web APIs, Objectoriented programming, Azure Kubernetes Service, Azure PaaS Services, Azure Functions, Azure Service Bus, Azure Service Fabric, SQL databases, NoSQL databases, Cosmos DB, AgileScrum, microservice architecture
About FIOLABS.AI
Job Description
This is a remote position. Title: Senior Backend Cloud Developer (.NET/Azure) Exp: 10+ yrs Remote Contract: 6 Months+ US Shift timings EST (4.30 PM to 12.30 AM IST) Interview rounds: 2 Excellent comm skills Immediate Joiner Requirements 10+ years of commercial experience in backend development using C#, .NET Framework, and ASP.NET Experience in developing and integrating RESTful Web APIs Solid understanding of object-oriented programming (OOP) principles and clean code practices Hands-on experience with Microsoft Azure, including: Azure Kubernetes Service (AKS) Azure PaaS Services (e.g., App Services, Azure Functions) Azure Service Bus Azure Service Fabric Experience working with microservice architecture in a cloud environment Practical experience using Docker for development and deployment Understanding of containerization concepts in cloud-based applications Experience working with SQL databases (e.g., PostgreSQL) Experience with NoSQL databases, preferably Cosmos DB Experience working in Agile/SCRUM teams Comfortable collaborating with cross-functional teams (developers, QA, DevOps) Work Overview: Design and development of Azure-based containerized applications. Develop proof of concepts and prototypes at project inception Provide multiple solutions to technical problems and challenges Provide technical documentation, such as design documents Maintain existing backend products implement new features and feature enhancements Implement industry best practices in cloud/backend development Diagnose, triage, and resolve defects identified during the Quality Engineering process,