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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Junior .Net Developer - **Company:** Drunix Solution Inc - **Location:** United States (Remote available) - **Experience:** Starter - **Contract:** Internship / Graduate position - **Skills:** LangGraph Framework, Testing (Software), .NET Framework, Microsoft Windows, Artificial Intelligence, Amazon Web Services, Amazon S3, Advanced Message Queuing Protocol, Macintosh Application Environment, Application Packaging, Automation of Tests, Unit Testing, C Sharp (Programming Language), Cloud Computing, Software Documentation, Code Generation, Code Review, Computer Engineering, Continuous Integration, Cursor, Software Debugging, Linux, DevOps, Programming Tools, Github, Medical Software, Java Applet, Python (Programming Language), Message Queuing Telemetry Transport (MQTT), Regression Testing, E2e Testing, Cloud Services, Responsive Web Design, Serial Communications, Software Deployment, Software Engineering, Verification and Validation (Software), Software Quality Assurance (SQA), TypeScript, Spring Cloud, Tailwind, GitHub Copilot, ReactJS, Retrieval-Augmented Generation, Claude Code, Hardware Testing, Generative AI, Backend, Agentic-AI, Git, Fastapi, Integration Tests, Information Technology, Deployment Automation, AWS Fargate, Build Process, Front End Software Development, Cloudwatch, Restful APIs, Model Context Protocol, Amazon Simple Queue Service (SQS), Software Version Control, Docker - **Published:** November 5, 2026 - **Apply:** https://www.dice.com/job-detail/2c0862d4-29e1-4772-b2db-7727f10436f6 ## About the Role Frontend Development React, TypeScript, Tailwind CSS Backend Development .NET 8, C#, Python, FastAPI, REST APIs Cloud Platform AWS ECS Fargate, S3, SQS, CloudWatch Instrument Integration Windows/Linux, MQTT, AMQP, REST, device interfaces DevOps & Deployment Git, GitHub Actions, CI/CD, Docker Software Packaging MSI, NSIS installers AI-Assisted Development GitHub Copilot, Cursor, Claude Code AI & Automation LangGraph, MCP, RAG Testing & Validation Unit Testing, Integration Testing, E2E Testing, Physical Hardware Testing Quality & Compliance IEC 62304, software validation, test documentation, * Bachelor's or Master's degree in Computer Science, Computer Engineering, Biomedical Engineering, or a related discipline. * 0-2 years of software development experience. Academic projects, internships, co-op assignments, and personal projects will be considered. * Basic working knowledge of React and TypeScript. * Exposure to backend development using .NET/C# or Python. * Familiarity with REST APIs, application development, and software debugging. * Basic understanding of Git, version control, and CI/CD concepts. * Experience using AI-assisted coding tools such as GitHub Copilot, Cursor, or Claude Code, with the ability to review and validate generated code. * Interest in working with physical equipment, diagnostic instruments, and laboratory testing procedures. * Strong analytical, troubleshooting, and problem-solving abilities. * Good communication skills and the ability to collaborate with distributed engineering teams. * Willingness to travel to the designated laboratory location on a scheduled basis for hands-on testing and validation. Preferred / Good-to-Have Skills * Academic or project experience involving medical devices, clinical diagnostics, laboratory systems, or healthcare technology. * Exposure to embedded systems, IoT applications, or device-to-cloud communication. * Familiarity with MQTT, AMQP, serial communication, or USB-based device interfaces. * Basic understanding of AWS cloud services and containerization using Docker. * Exposure to software packaging, application installers, or deployment automation. * Awareness of regulated software development practices, including IEC 62304, FDA 21 CFR, or In Vitro Diagnostics (IVD) environments. * Experience with AI agents, LangGraph, MCP, or RAG-based applications. * Familiarity with automated software testing frameworks., We are looking for an enthusiastic early-career engineer who: * Has a strong foundation in programming and a genuine interest in full-stack development. * Enjoys learning new technologies and working across different layers of an application. * Is comfortable combining software development with hands-on testing of physical devices. * Demonstrates curiosity about cloud-native applications, IoT, and AI-powered engineering. * Takes ownership of assigned tasks and actively seeks feedback and mentorship. * Can independently troubleshoot basic technical issues while collaborating effectively ## Description · We are seeking a motivated Junior Full Stack Developer to join a technology team responsible for developing and modernizing a cloud-based remote instrument monitoring platform used in clinical diagnostics and laboratory environments. · The platform enables hospitals, laboratories, and service teams to remotely monitor diagnostic instruments, track operational health, receive alerts, and manage software updates. · The selected candidate will contribute to the modernization of a legacy application environment into a modern, cloud-native architecture leveraging React, TypeScript, .NET 8, Python, and AWS. · This is a hands-on development role offering exposure to frontend and backend engineering, cloud technologies, instrument-level application development, and automated testing. The individual will also participate in laboratory testing, validating software changes on actual diagnostic instruments. · The role is particularly suitable for entry level candidates and early-career engineers who are passionate about software development, emerging technologies, and AI-assisted engineering practices. Mentorship and technical guidance will be provided by experienced engineers. Key Responsibilities 1. 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. 2. 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. 3. 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. 4. 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. 5. 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.