Volunteering Full Stack Developer React Python Jobs in Cedar Rapids, IA

We are seeking an experienced Full Stack Developer to design, build, and maintain scalable web applications across the entire stack. This role is primarily about writing great software: clean, well-tested, and built to last.

The ideal candidate is a strong engineer who takes ownership of features end-to-end, collaborates closely with design and product, and brings sound architectural thinking to every project.

Key Responsibilities

• Build and maintain scalable web applications using TypeScript and JavaScript across the full stack.
• Develop componentdriven UIs with React, using hooks, React Query, React Router, and state management libraries.
• Write typesafe, welldocumented code using TypeScript on both the client and server side.
• Build and consume RESTful and GraphQL APIs, connecting frontends to backend services and thirdparty integrations.
• Maintain high standards for code quality, testing, and performance.
Solution Architecture & Design
• Architect endtoend solutions across frontend, backend, and cloud infrastructure.
• Translate business requirements into clean technical designs and system architectures.
• Define data flows, integration patterns, and service boundaries for maintainable applications.
• Evaluate and recommend frameworks, libraries, and tools appropriate for each use case.
Collaboration & Consulting
• Work closely with clients and internal stakeholders to gather requirements and deliver solutions.
• Collaborate with UI/UX teams to implement intuitive, accessible interfaces.
• Provide technical guidance and mentorship to other developers on the team.
• Lead or contribute to code reviews, technical discussions, and architecture decisions.
DevOps & Deployment
• Build and maintain CI/CD pipelines for reliable, repeatable deployments.
• Deploy and manage applications in cloud environments (AWS, Azure, or GCP).
• Ensure observability, reliability, and scalability of production systems.
AI Tool Usage
• Use AI tools and APIs (such as OpenAI or Azure AI) pragmatically to enhance features or accelerate development where appropriate.
• Review and validate AIassisted code for correctness, security, and maintainability.
• Integrate AIpowered capabilities — such as intelligent search, content generation, or workflow automation — into full stack applications when they serve a clear product need.
• Stay current with the AI tooling landscape and apply good judgment about when AI adds genuine value.
Required Qualifications
• Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• 5+ years of full stack development experience.
• Strong proficiency in TypeScript and JavaScript.
• Expertlevel experience with React, including hooks, context, performance optimization, and ecosystem tooling.
• Experience building and consuming RESTful and/or GraphQL APIs.
• Experience with relational and nonrelational databases (SQL and NoSQL).
• Comfortable working in CI/CD environments and with containerization basics (Docker).
Preferred Qualifications
• Experience with Next.js or Remix for serverside rendering and full stack React architectures.
• Advanced TypeScript knowledge: generics, utility types, and typesafe shared libraries.
• Familiarity with microfrontend architectures and module federation.
• Experience integrating AI APIs or LLMbased services into production applications.
• Knowledge of vector databases or semantic search (a plus, not a requirement).
• Experience in a consulting or clientfacing technical role.
• Familiarity with container orchestration (Kubernetes).
Key Skills
• TypeScript & JavaScript
• React ecosystem (hooks, React Query, React Router, testing libraries)
• Full stack application architecture
• Cloudnative application design
• RESTful & GraphQL API design
• CI/CD and DevOps fundamentals
• Technical collaboration and stakeholder communication
• Pragmatic AI tool integration
What Success Looks Like
• Deliver wellcrafted, maintainable applications that solve real problems for clients and internal teams.
• Own features endtoend — from architecture and implementation through testing and deployment.
• Raise the quality bar through strong code reviews, clear documentation, and sound design decisions.
• Use AI tools thoughtfully to move faster and build smarter, without overengineering for it.
• Grow as a technical leader and trusted collaborator across engineering and product teams.