Hi,
Greetings of the day!!
Work Location: Remote – PST Time zone
Junior .NET Full Stack Developer
· 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.
Technical Skills & Technology Stack
Technology Area | Skills / Technologies |
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 |
Required Qualifications
- 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.
Ideal Candidate Profile
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
