Senior .NET Engineer

We are seeking a hands-on Senior .NET Engineer to design, build, and deliver high-quality, scalable enterprise SaaS applications. In this role, you will tackle complex architectural challenges, build modular backend systems, and take end-to-end responsibility for the quality and testing of your code within a modern, AI-assisted development workflow.

Responsibilities

• Deconstruct complex business problems into modular, clean solutions.
• Build foundational frameworks and apply architectural patterns like Domain-Driven Design (DDD) and CQRS.
• Build, maintain, and optimize RESTful APIs and microservices using C#, .NET Core, Web API, and Entity Framework (EF Core / EF6).
• Work extensively with SQL Server, including database design, writing complex stored procedures, indexing, query optimization, and performance tuning.
• Take full responsibility for testing code (unit, integration, and performance testing).
• Actively leverage AI development tools to accelerate code generation, refactoring, documentation, and overall execution speed.
• Partner directly with Product Managers and cross-functional engineering squads to translate business requirements into customer-centric features.

Qualifications and Job Requirements

• 5+ years of experience in enterprise or SaaS software development across C#, .NET Core, Web API, Entity Framework, and SQL Server.
• Solid understanding of Object-Oriented Programming (OOP), design patterns, enterprise architecture, multi-threading, and asynchronous programming.
• Practical experience with DDD, CQRS, and clean separation of business and data access layers.
• Active, daily experience incorporating AI coding assistants (GitHub Copilot, Claude, or similar) into your development pipeline.
• Familiarity with Angular (or other modern front-end frameworks), Git version control, and CI/CD pipelines within an Agile environment.
• Excellent written and verbal English communication skills, with a track record of collaborating across distributed teams or squads.

Pluses

• Production experience building AI-powered product features (e.g., intelligent search, smart forms, NLP workflows).
• Direct experience working in a Shift Left / full feature ownership environment from initial design through production deployment.
• Exposure to event-driven architectures, asynchronous messaging patterns, or distributed systems.