Junior .Net Developer

·         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.

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.

• 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.

• 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