Software Engineer

Description

Job Summary: We are seeking Full Stack Developers to build high-performance and scalable solutions, developing back-end with Node.js/TypeScript and front-end with React/React Native. Key Highlights: 1. Back-end development with Node.js and TypeScript (NestJS) 2. UI development with React and React Native 3. Implementation of serverless architectures using AWS **Description** We are looking for **2 Full Stack Developers (Mid-level and Senior)** to join our team and build high-performance and scalable solutions. You will be responsible for developing back-end applications with **Node.js** and **TypeScript (NestJS)**, creating UIs with **React** and **React Native**, and implementing **serverless architectures using AWS**. We seek professionals with experience in **REST/GraphQL APIs**, databases such as **DynamoDB and MongoDB**, and familiarity with **agile methodologies** and **best development practices**. **Responsibilities and Duties** Develop, maintain, and optimize back-end applications in Node.js with TypeScript using the NestJS framework. Create and maintain front-end UIs and components with React and React Native for web and mobile. Implement and consume REST and GraphQL APIs. Participate in the design and development of highly scalable systems, ensuring readiness for large data volumes. Work within a serverless architecture using AWS Lambda and Terraform. Perform integration and optimization of databases such as DynamoDB, MongoDB, Elasticsearch, and Redis. Collaborate on building message queues for integration with other systems. Work within a cross-functional team to deliver scalable, secure, and high-performance solutions. **Requirements and Qualifications** Experience with Node.js and TypeScript; familiarity with NestJS is a plus. Solid knowledge of front-end development with React and React Native. Familiarity with GraphQL and RESTful APIs. Experience with serverless architecture, especially using AWS Lambda. Knowledge of the following databases: DynamoDB, MongoDB, Elasticsearch, and Redis. Experience with AWS environments and skills in scalability and sound architecture. Experience using Elasticsearch and indexing tools. Knowledge of message queues and event-driven architecture. Experience with Docker and development of solutions for high scalability.