Job Description

We're expanding our .NET Core team and looking for a .NET Developer with 6+ years of experience who's passionate about building high-quality, scalable backend systems and who treats modern AI coding assistants as a core part of their daily workflow.

This is fundamentally a backend engineering role: you'll own complex .NET systems from concept to production. AI coding assistants (Claude Code, Cursor, Copilot, or similar) are an expected daily tool, not a novelty. We want engineers who use them well, review their output critically, and can tell us where they help and where they don't.

Key Responsibilities

• Lead the design, development, and maintenance of backend services using .NET technologies in cloud-based, distributed environments

• Design and implement secure backend services using ASP.NET Core - authentication, authorization, validation, error handling, and configuration

• Work with modern auth mechanisms: OAuth2, OpenID Connect, JWT/cookie-based authentication, claims, roles, policies, secure API access

• Develop and maintain RESTful APIs with clear contracts, proper versioning, input validation, and good documentation

• Apply clean code principles, SOLID practices, and maintainable architecture patterns

• Maintain high performance, observability, and code quality - enforcing engineering standards and automation culture

• Use AI coding assistants effectively across the development lifecycle, while keeping ideas, judgment, and technical accuracy your own

• Write and maintain unit tests, integration tests, and other automated tests

• Mentor mid/junior engineers — including on how to use AI tools effectively and safely

• Communicate clearly with clients, technical leads, product owners, architects, and engineering stakeholders

Required Qualifications

• 6+ years of professional .NET experience: C#, ASP.NET Core, .NET, ASP.NET Web API

• Strong Git practices and experience working in collaborative codebases

• Entity Framework Core (other ORMs a plus)

• Experience building RESTful APIs and backend services

• Solid understanding of modern authentication and authorization (OAuth2, OpenID Connect, tokens, scopes, claims)

• Database experience with relational and NoSQL systems (MSSQL, PostgreSQL, MongoDB, or similar)

• Unit and integration testing practice (NUnit, xUnit, or equivalent)

• Cloud experience (AWS or Azure preferred)

• Ability to troubleshoot technical issues and reason about production behavior

• Strong communication skills

AI Workflow Requirements

• Daily, working use of at least one AI coding assistant (Claude Code, Cursor, GitHub Copilot, or similar) on real production work

• Ability to critically review AI-generated code for correctness, security, performance, and maintainability and to recognize when not to delegate to an agent

• A practical, perspective on where AI assistants help and where they don't

• Comfort iterating on prompts and context (e.g., project-level context files, structured instructions) to get reliable output

Bonus / Growth Area: AI Engineering

We're not hiring an AI engineer - but our product roadmap may include LLM-powered features over time, and engineers interested in growing in that direction will have the opportunity to do so. Any of the following is a plus:

• Exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, Gemini, or similar)

• Familiarity with RAG concepts, prompt design, or output validation

• Awareness of agentic patterns (tool calling, state handling, orchestration) - even at a conceptual level

• Interest in evaluation, observability, or safety considerations for LLM-based systems

Additional Experience That's A Plus

• Message brokers: RabbitMQ / Azure Service Bus / Kafka

• Background processing: Hangfire, Quartz, Worker Services

• Event-driven architectures, CQRS, or event sourcing

• Infrastructure as Code and CI/CD pipelines

Language requirements: English (Fluent)