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Lead Software Engineer - .Net

CLOUDSUFI -
Gautam Budh Nagar, Uttar Pradesh

Quick apply

Job details

12 days ago

Qualifications

ASP.NET
Data modelling
Azure
MVC
Cloud architecture
ASP.NET Core
Kubernetes
Software deployment
DevOps
.NET Core
Visual Studio
C#
Microsoft SQL Server
Git
Google Cloud Platform
Windows
.NET
Docker
Scripting
Cloud computing
UI
AI

Full job description

Summary

We are seeking a Senior Full-Stack Developer to lead the modernization and migration of a legacy Windows-based application to a modern, scalable web application. This role is central to a high-priority migration effort, focusing on the C#/.NET Core stack, deep cloud integration with Google Cloud Platform (GCP) serverless architecture, and seamless connectivity with our core AI services.

Key Responsibilities

Application Migration: Architect, lead, and execute the migration of the existing C# .NET WinForms UI code to a modern web-based interface using http://ASP.NET Core (Blazor, Razor Pages, or MVC pages).
Full-Stack Development: Design, develop, and implement modular, reusable components for the front-end and ensure robust integration with existing .NET DLL libraries for data access and business logic.
UI/UX Modernization: Redesign layouts and maintain user experience with modern UI controls, specifically utilizing DevExpress http://ASP.NET Components.
Cloud Deployment and DevOps: Own the deployment life cycle on Google Cloud Platform (GCP), including setting up and stabilizing serverless environments (Cloud Run). This includes writing deployment automation scripts, preferably using tools like Tera form.
AI Integration: Integrate the application with the existing AI Server via WebAPI links. Collaborate with the AI team to leverage advanced GPU support in the serverless environment and maintain necessary AI service communication.
Technical Problem Solving: Address critical infrastructure limitations and application issues, such as managing large file uploads/exports, enhancing session stability (e.g., using GCS for Data Protection keys), and improving deployment speed.
Database Management: Ensure efficient interaction with the core MS SQL Server 2022 database.
Scalability and Performance: Contribute to performance review and future scalability planning, evaluating options like Docker and Kubernetes.

Required Technical Stack

Core Frameworks: Deep expertise in C# and .NET Core (http://ASP.NET Core MVC, Razor Pages, or Blazor).
Database: Strong working knowledge of MS SQL Server 2022.
Cloud Computing: Hands-on experience with Google Cloud Platform (GCP) and its serverless offerings, particularly Cloud Run.
DevOps/Tools: Experience with Version Control (Azure DevOps/Git), and proficiency in deployment automation and scripting.
UI Components: Familiarity with DevExpress WinForms/http://ASP.NET Controls.
Development Environment: Visual Studio 2022.

Preferred Qualifications

Prior experience migrating legacy applications (e.g., WinForms) to modern web technologies.
Experience designing applications for high performance, utilizing cloud features like GCS for data handling, and supporting GPU-intensive operations.
Familiarity with containerization technologies (Docker/Kubernetes).
Domain and Application Knowledge (MillworkSuite):
Data Modeling & Integration: Experience implementing complex data models for product cataloguing, pricing tables, and customer-configured mapping to industry systems like Microvellum or Cabinet Vision.
Application Lifecycle Management: Familiarity with implementing project status workflows, versioning projects (e.g., Current, Bid, Archived), and tracking elevation-level versioning for change order (CO) costs.
Drawings and CAD Exports: Experience with drawing-related features, including managing revision sets, handling markers (e.g., PL1/PL2/SS1 pickup), and integrating CAD exports, specifically Cabinet Vision export.
Security & Audit: Experience implementing granular, feature-level role-based access control and an audit logging framework to capture key user actions (login/logout, edit, delete, approval, feedback).
Deployment Flexibility: Understanding of architectures that support both cloud/hosted and on-premise/limited-connectivity deployment modes.

Quick apply

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