Senior .Net Software Engineer

Role Description

We are looking for seasoned Senior .NET Developers who thrive in complex engineering environments, enjoy solving challenging technical problems, and take ownership of the software they build.

• Contribute to architectural decisions and articulate the trade-offs behind technical choices.
• Take features from business refinement through implementation, deployment, and production monitoring.
• Work with modern engineering practices to build decoupled, maintainable systems that scale reliably in production.
• Own the delivery pipeline end to end:
• Refinement: Challenge ambiguous business requirements, analyze acceptance criteria, and ensure technical feasibility.
• Architecture: Design decoupled, scalable solutions using Event-Driven Architecture (EDA) patterns.
• Execution: Write highly concurrent, thread-safe applications using .NET 8 or later, with a strong preference for composition over inheritance.
• Verification: Treat Test-Driven Development (TDD) as an essential engineering practice by writing robust unit and integration tests using xUnit and WireMock to prevent regressions.
• Delivery & Operations: Deploy through modern CI/CD pipelines and proactively monitor production telemetry using tools such as AWS CloudWatch, New Relic, and GitHub Actions to ensure rapid troubleshooting and operational excellence.

Qualifications

• Solid experience designing and deploying complex, high-throughput backend systems using .NET.
• Deep, hands-on experience with AWS, particularly containerized workloads (ECS/EC2) and messaging services (SQS/SNS).
• Strong understanding of SOLID principles, dependency injection lifetimes, and the ASP.NET Core middleware pipeline.
• Expert knowledge of asynchronous programming in C#.
• Strong understanding of RESTful APIs, idempotent operations, and global exception-handling strategies.
• Advanced or fluent English, with the ability to clearly communicate architectural decisions and technical trade-offs to stakeholders and cross-functional teams.

Requirements

• Production experience with streaming platforms such as Kafka, Kinesis, or RabbitMQ.
• Strong understanding of AWS services and cloud-native architectures.
• Practical experience with LLMs and Generative AI using .NET or Python, particularly for AI-assisted engineering workflows and SDLC automation.

Benefits

• Flexibility to choose where you work from (Remote-first culture).
• Free English lessons and continuous training/learning opportunities.
• Access to counseling and psychotherapy services, and incentives in sports competitions.
• Annual profit distribution (subject to company performance and board decision - only for CLT contracts).
• Gatherings and annual trip to bond with the team.
• A collaborative, lean, and self-managed environment where you have the autonomy to make an impact.