Junior Full Stack Developer

Job Description Full Stack Application Development Develop and enhance responsive web application features using React, TypeScript, and Tailwind CSS.Build and maintain backend services and REST APIs using .NET 8 (C#) or Python (FastAPI).Contribute to dashboards, monitoring interfaces, alerts, and software update tracking capabilities. Participate in developing and maintaining instrument-facing applications (applets).Support communication between diagnostic instruments and cloud services using MQTT, AMQP, and REST protocols. Write clean, maintainable, and well-documented code following established development standards. Cloud, DevOps & Release Engineering Assist in building, testing, and maintaining application deployment packages and software installers. Work with MSI/NSIS installers, Docker, and automated build processes. Support CI/CD pipelines using GitHub Actions. Gain hands-on exposure to AWS services, including ECS Fargate, S3, SQS, and CloudWatch. Assist with application deployment, release validation, and troubleshooting. Software Testing & Laboratory Validation Test application and instrument applet enhancements on physical diagnostic instruments in a laboratory environment. Validate software changes developed by other team members on actual hardware. Execute documented test cases and perform functional, integration, and end-to-end testing. Identify, reproduce, document, and report software defects. Collaborate with laboratory personnel and field-service experts to understand instrument functionality and operational workflows. Maintain accurate, traceable test documentation in alignment with applicable medical software development practices, including IEC 62304. Automated Testing & Quality Engineering Develop and maintain unit, integration, and end-to-end automated test cases. Support software quality assurance and regression testing activities. Participate in code reviews, debugging, and root-cause analysis. Follow established quality, security, and software development processes. AI-Assisted Software Engineering Leverage AI-powered development tools such as GitHub Copilot, Cursor, and Claude Code to accelerate coding, testing, debugging, and code reviews. Validate AI-generated code and ensure its accuracy, quality, and security. Gradually develop capabilities in AI agents, LangGraph, Model Context Protocol (MCP), and Retrieval-Augmented Generation (RAG).Explore AI-based solutions for accessing technical documentation, instrument manuals, and troubleshooting knowledge.