About the role
## Senior Software Engineer - .NET + AI
What will I be doing?
* Own the end-to-end development and technical success of significant features within a product module, delivering exceptional customer experiences.
* Design, build, and evolve scalable SaaS applications using .NET/C#, REST APIs, SQL/NoSQL, and Flutter/React.
* Own delivery of significant features end-to-end, resolving technical ambiguity in your area without needing escalation; drive estimation and planning for your own work.
* Design components with clear interfaces, extensibility, and testability; make sound architectural decisions within your domain and lead technical design reviews for the features you own.
* Drive testing standards and coverage for the features you build; contribute to and help improve the team's test automation infrastructure.
* Own compliance adherence for your components — understand relevant regulatory and data governance requirements and ensure your code meets them; bring a security-first mindset to design, including threat modelling for the work you own.
* Collaborate closely with Product Managers, Designers, and fellow Engineers to deliver customer-centric features in an agile environment; understand customer workflows deeply enough to challenge requirements and propose alternatives.
* Own production health for the components you build — monitoring, alerts, dashboards, and incident response for your area; know how your features are performing and being adopted in production.
* Leverage modern AI-assisted development tools (e.g., Claude Code, Cursor) throughout the engineering lifecycle for design exploration, implementation, debugging, testing, documentation, and code review.
* Apply sound engineering judgment to determine where AI-generated output can be trusted and where human expertise is essential, particularly in areas involving security, data integrity, architecture, compliance, and customer-critical workflows.
* Write clear design documents and communicate technical decisions and trade-offs to both technical and non-technical audiences.
What skills do I need?
* 5–7 years of experience designing and building enterprise-scale SaaS applications using Microsoft technologies (.NET/C#, REST APIs, SQL Server/NoSQL) and modern UI frameworks such as Flutter or React.
* 3+ years of experience building highly available, scalable, distributed cloud services (AWS or Azure).
* Strong system design, analytical thinking, and problem-solving skills, with the ability to own complex technical problems within your area.
* Hands-on experience using modern AI-assisted development tools (Copilot, Claude Code, Cursor) in a production environment.
* Strong engineering judgment to critically review AI-generated code, especially in areas involving security, performance, scalability, reliability, and data integrity.
* Excellent communication and collaboration skills.
* Comfortable working in a fast-paced, continuously evolving product organization.
* Experience building developer productivity tooling, prompt libraries, reusable workflows, MCP servers, or AI-enabled engineering automation is a plus.
* Passion for continuously learning emerging AI-assisted engineering practices and applying those that create measurable customer and engineering value.