Senior Software Engineer

We are looking for a Senior Software Engineer with deep expertise in C#/.NET to drive the evolution of server-side systems within a fast-scaling environment. You'll play a pivotal role in shaping the technical foundation of a growing platform, helping move from strong product-market fit into the next phase of growth. This role goes beyond feature delivery you'll be instrumental in defining how backend services are built, scaled, and modernised, with a particular focus on extending AI-powered capabilities. Working at the core of a widely used product, you'll tackle complex technical challenges while influencing architectural direction across the wider engineering organisation. What You'll Do

Define and evolve server-side architecture and technical direction in line with business and product goals Lead development of robust back-end services and APIs using C# and .NET Core/.NET 6+ Optimise system performance, security, and scalability for a growing user base Advise on architectural decisions across microservices, data storage, AI, and integrations Collaborate with product teams and stakeholders to shape technical strategy and roadmap Lead by example, maintaining high standards for code quality, testing, and performance Mentor engineers, supporting growth and continuous improvement Influence engineering culture, processes, and technical strategy across the organisation Drive improvements in tooling, workflows, and development practices Contribute to long-term architectural planning as a subject matter expert

Back-end development experience with C#/.NET, including work at scale Strong understanding of software design patterns, systems architecture, and secure development Experience designing APIs with a focus on security and best practices Proven experience delivering AI-powered features, including LLM integrations and RAG-based solutions Experience integrating AI capabilities into .NET backend systems and RESTful APIs Familiarity with CI/CD pipelines, Docker, and cloud infrastructure (Azure experience advantageous) Experience working in agile environments with modern DevOps toolchains Strong architectural thinking and experience with scalable, component-based systems Ability to balance short-term delivery with long-term scalability and maintainability Proven ability to mentor and provide technical leadership, particularly in AI-focused engineering