
Mid-Level Full-Stack Software Engineer
InvestorFlow · London, England, United Kingdom
About this role
The Full-Stack Software Engineer will design, develop, and maintain RESTful APIs using .NET Core and build responsive user interfaces with React. The role involves working with both SQL (MS-SQL) and NoSQL (MongoDB) databases and integrating external APIs. The engineer will collaborate with cross-functional teams to ensure secure coding practices and optimize API performance. The technical environment includes CI/CD pipelines, Infrastructure as Code (Terraform), and cloud platforms like Azure or AWS. The candidate will also leverage modern AI tools like GitHub Copilot to improve development productivity.
Skills & technologies
Must have
Nice to have
- AI/LLM
- Anthropic
- Docker
- Kubernetes
- Azure Functions
- Azure API Management
- Azure Service Bus
- Azure Monitor
- Application Insights
- Azure Front Door
- Azure CDN
Read full description
We are seeking a skilled and passionate Full-Stack Software Engineer with strong experience in C#/.NET Core and modern front-end technologies (React, JavaScript/TypeScript, HTML, CSS) to design, develop, and maintain robust APIs and user interfaces for our enterprise applications.
The ideal candidate will be passionate about clean code, scalable architecture, and collaborative development, working closely with engineering and Product teams to build high quality products.
Exposure to modern AI tools and services (such as GitHub Copilot or APIs from providers like Anthropic) is beneficial.
You Will:
- Design, develop, and maintain RESTful APIs using .NET Core.
- Work with data from SQL (MS-SQL server) and NoSQL (MongoDb) databases and external APIs.
- Ensure secure coding practices are followed throughout the development lifecycle.
- Collaborate with cross-functional teams to integrate APIs with frontend and backend systems.
- Build and maintain responsive, accessible user interfaces using React, JavaScript/TypeScript, HTML, and CSS.
- Optimize API performance and ensure scalability.
- Write unit and integration tests to ensure code quality.
- Participate in code reviews and contribute to continuous improvement.
- Work with CI/CD pipelines and Infrastructure as Code (IaC) tools to automate deployments.
- Leverage modern developer tools (e.g., GitHub Copilot) to improve productivity where appropriate.
Required
- 3–5 years of experience in .NET Core and API development.
- Strong understanding of RESTful API design principles, software design patterns, and secure coding standards.
- Experience with Entity Framework, SQL Server, and version control systems (e.g., Git).
- Hands-on experience with front-end development using React, JavaScript/TypeScript, HTML, and CSS.
- Experience with modern front-end tooling and build systems (e.g., Vite, Webpack) and state management libraries.
- Experience with CI/CD tools (e.g., GitHub Actions), IaC (e.g., Terraform), and cloud platforms (Azure/AWS).
- Leverage modern AI tools (e.g. GitHub Copilot, Claude Code, etc.) to improve productivity where appropriate.
- Good problem-solving skills and understanding of scalable system design.
- Basic awareness of AI/LLM concepts or experience consuming AI APIs (e.g. simple integrations).
- Familiarity with tools or platforms from providers like Anthropic.
- Experience in developing, building, and deploying financial services grade applications and platforms.
- Knowledge of core Azure services (Azure Functions, Azure API Management, Azure Service Bus, Azure Monitor, Application Insights, Azure Front Door, Azure CDN).
- Experience with containerization and orchestration tools such as Docker and Kubernetes.
- Strong problem solving and analytical thinking
- Clean coding and attention to detail
- Collaboration and communication skills
- Ownership mindset with focus on quality and delivery
- Willingness to learn new technologies (including AI where relevant)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.