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Winsor Consulting Group, LLC Linkedin · Posted 24d ago

Full Stack Developer

Buffalo, New York, United States

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Position Overview

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

Full Stack Development

  • 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.
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