Full Stack Developer; IoT/.NET/C
Listed on 2026-11-01
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Software Development
Full Stack Developer, DevOps, Cloud Engineer - Software, Backend Developer
Client is a clinical diagnostics remote instrument monitoring platform. We are modernizing from a legacy stack (TFS / VB6 / AngularJS) to cloud-native on AWS ECS Fargate, React 19, .NET 8, and Git Hub Actions. You will build across IoT pipelines, instrument applets, software packaging, AI agents, and cloud dashboards — end-to-end ownership on a greenfield platform used by hospitals and labs worldwide.
Required Qualifications:2–6 years full-stack development shipping production software
React / Type Script + .NET C# or Python backend
IoT protocol experience (MQTT, AMQP) or edge software integration
Software packaging: installers, containers, or update agents
AI tools in daily development (Cursor, Copilot, Claude Code)
CI/CD familiarity (Git Hub Actions or equivalent)
Medical device software background (IEC 62304, IVD, FDA CFR 21)
Lang Graph / MCP agent production deployment
AWS ECS Fargate, Terraform, or IaC hands-on
AngularJS / VB6 / TFS context (migration awareness)
HIPAA-adjacent data handling and audit trail experience
React 19, Type Script, Tailwind CSS, Next.js
.NET 8 (C#), Python (FastAPI), REST, GraphQL
MQTT, AMQP, Windows / Linux edge agents, Instrument interfaces
MSI / NSIS, Docker, OCI containers, Delta-update tooling
Lang Graph, MCP, RAG Claude API, Cursor, Git Hub Copilot
AWS ECS Fargate, S3, SQS, Cloud Watch, Git Hub Actions, Terraform
Develop MQTT / AMQP / REST pipelines between instruments and cloud backend.
Build lightweight Windows/Linux edge applets for telemetry and update enforcement.
Integrate instrument protocols and support migration from the legacy stack.
Develop installer packages (MSI/NSIS) for connected and air-gapped instrument channels.
Implement delta-update mechanisms with rollback, version detection, and audit trails.
Integrate IEC 62304-aligned packaging into Git Hub Actions CI/CD.
Build and deploy AI agents using Lang Graph, MCP, or Lang Chain.
Develop RAG pipelines against instrument manuals and support knowledge bases.
Use AI tooling for code generation, PR bots, and test scaffolding to accelerate development.
Develop React 19 UIs for dashboards, alerts, consumable tracking, and update status.
Build .NET 8 / Python backend services, REST APIs, and event-driven microservices.
Create automated unit, integration, and end-to-end tests for regulated software releases.
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