DOT NET Full Stack (MongoDB) Engineer

Sr. Full Stack DOT NET (Mongo + Solr) Developer

Location - Remote / Brazil

Duration - 12 Months + Contract

We’re looking for a hands-on Software Engineer to help design, build, and deliver high-quality, scalable enterprise SaaS applications. This role is ideal for someone who enjoys solving complex problems, writing clean code, and taking full ownership of their work—including testing and quality.

What You’ll Be Doing

Break down large or complex problems into smaller parts, design clean solutions, and implement the core framework.

Build and maintain RESTful APIs and backend services using C#, .NET Core, and Web API.

Apply software architecture patterns like Domain-Driven Design (DDD) and CQRS to build modular and scalable systems.

Work directly with SQL Server—designing databases, writing stored procedures, optimizing queries, and tuning performance.

Use Entity Framework (EF Core or EF6) for ORM and data access.

Contribute to the technical effort for modernizing and rewriting legacy applications (e.g., ASP.NET MVC/Knockout.js) to .NET Core 8.

Design and implement scalable data access strategies utilizing relational (SQL Server) and NoSQL databases, including MongoDB.

Implement and maintain enterprise search solutions using technologies such as Apache Solr.

Write clean, testable, and maintainable code with proper documentation.

Take full ownership of testing your own code—unit, integration, and performance testing—as part of a Shift Left / No QA team setup.

Collaborate with product managers and other teams to understand requirements and deliver customer-focused features.

Use AI development tools (required)—including GitHub Copilot, Claude, or similar—to assist with code generation, refactoring, documentation, and development speed.

What You Should Bring

5+ years of experience in enterprise or SaaS software development.

Strong Hands-on Experience With

C#, .NET Core, Web API, and experience with migrating applications to .NET Core 8.

Entity Framework (EF Core or EF6)

Mongo DB, SOLR

SQL Server – writing queries, stored procedures, indexing, and performance tuning

Solid understanding of object-oriented programming, design patterns, and enterprise architecture.

Experience with DDD, CQRS, and clean layering of business logic and data access.

Familiarity with multi-threading, asynchronous programming, and system performance tuning.

Comfortable with Git and working in a modern development environment (CI/CD, Agile).

Strong debugging and troubleshooting skills.

Excellent communication skills (written and verbal) in English.

Experience working across multiple teams or squads.

Experience with modern frontend frameworks, specifically Angular (version 20 or later is highly desirable).

Required: Active daily use of AI development tools like GitHub Copilot, Claude, or similar in your workflow.

Bonus Points

Real-world experience building AI-powered features (e.g., smart forms, intelligent search, NLP features).

Experience working in a Shift Left environment with full feature ownership—design to production.

Exposure to event-driven architecture or messaging patterns