Senior Full-Stack Engineer (.NET + React)

• Design, develop, and maintain scalable and secure web applications using .NET, React, and related technologies
• Take ownership of the entire development lifecycle, including architecture design, coding, testing, deployment, and support
• Collaborate closely with cross-functional teams, including Product Managers, Designers, and QA Engineers, to deliver high-quality software solutions
• Lead code reviews, ensuring best practices in coding standards, security, and performance
• Provide mentorship and technical guidance to junior and mid-level developers
• Stay updated with emerging technologies and recommend improvements to enhance the technology stack
• Troubleshoot and resolve complex technical issues to ensure smooth operation of applications
• Proficient in leveraging AI tools and platforms to support and enhance daily tasks and operational workflows

Backend & Architecture

• 5+ years of experience in .NET development using C#, ASP.NET Core, and RESTful APIs.
• Strong knowledge of software design principles, including architecture patterns, SOLID principles, and clean code practices.
• Experience with SQL Server and relational databases.
• Experience designing and developing scalable, modular applications and services.
• Strong analytical, problem-solving, and communication skills.

• 3+ years of professional experience with React and TypeScript for building modern, scalable web applications.
• Deep knowledge of JavaScript (ES6+), HTML5, and CSS3, including responsive design and modern layout techniques (Flexbox, Grid).
• Experience designing modular, reusable React components and scalable frontend architecture.
• Solid understanding of state management patterns (Redux Toolkit, Context API).
• Experience integrating RESTful APIs and implementing authentication flows (e.g., JWT).
• Familiarity with modern frontend build tools and package managers (npm/yarn, Vite/Webpack).
• Understanding of React performance optimisation techniques.
• Knowledge of web security and accessibility best practices.

• Experience with cloud platforms, preferably Microsoft Azure.
• Experience integrating AI/ML capabilities into applications (e.g., Azure OpenAI, Cognitive Services, prompt engineering, AI-assisted automation).
• Familiarity with AI/ML platforms and frameworks such as Azure ML, Semantic Kernel, LangChain, or ML.NET.
• Understanding of AI security, data privacy, and responsible AI principles.

• Experience with CI/CD pipelines, DevOps practices, and Git workflows.
• Experience working in agile development environments and cross-functional teams

• Experience with Next.js.
• Experience with component libraries such as Material UI or Ant Design.
• Experience with end-to-end testing tools (Cypress or Playwright).
• Familiarity with design systems and collaboration tools such as Figma.
• Experience with microservices architecture.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Experience building AI-driven products in product-led, innovation-focused environments.
• Experience with frontend or full-stack frameworks such as Angular or Blazor.