Middle Full-stack Engineer (React+.Net)

Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. As a Full Stack Developer, you will play a pivotal role in designing, developing, and maintaining our web applications, ensuring high performance and scalability.

• Collaborating with cross-functional teams to demonstrate how they can effectively leverage our infrastructure to meet their objectives.
• Designing, developing, and maintaining robust, scalable, and efficient web applications, backend logic modules, and database structure.
• Identifying and implementing strategies to improve the stability, performance, and scalability of our applications and services.
• Responding promptly to production incidents, employing creative problem-solving skills to minimize downtime and mitigate potential issues.
• Supporting team members, fostering a culture of continuous learning and technical excellence.
• Conducting code reviews and ensuring adherence to coding standards and best practices across the team.
• Participating in the evaluation and integration of new technologies, including AI and automation tools, to drive innovation and efficiency.

• Minimum of 3 years of professional experience in full stack development.
• Extensive experience with React.js, including state management (Redux, Context API) and component-based architecture.
• Proficiency in .NET frameworks, C#, and data access technologies.
• Familiarity with Unit / Integration tests using any of Jest, NUnit, Playwright, React Testing Library.
• Strong knowledge of front-end technologies such as HTML5, CSS3, JavaScript, and TypeScript.
• Familiarity with database systems such as SQL Server or MySQL.
• Strong knowledge of design and architectural patterns, SOA design & web service development.
• Strong understanding of development processes.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Experience with Web Page performance optimization and measurement will be a plus.
• Degree in Computer Science, a related discipline or equivalent work experience.
• Upper-intermediate level of English.
• Excellent problem-solving and analytical skills, with a keen attention to detail.
• Strong communication and interpersonal skills, with the ability to work effectively in a team-oriented environment.
• Ability to manage multiple tasks and prioritize effectively in a fast-paced environment.