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Senior Full Stack Developer

Job in Surrey, BC, Canada
Listing for: telehealth
Full Time position
Listed on 2026-06-16
Job specializations:
  • Software Development
    Full Stack Developer, AI Engineer (Applied/Software), Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 60000 - 80000 CAD Yearly CAD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Senior Full Stack Developer - Telehealth )

About the Role

We are hiring a Senior Full Stack Developer to build and maintain our platform.

You have deep full stack experience, you work with AI tools as a standard part of your workflow, and you can communicate technical decisions clearly to a non-technical team.

What You'll Be Doing
  • Design, build, and maintain the full stack — frontend, backend, and infrastructure
  • Integrate and manage third-party APIs, payment systems, and business tools
  • Maintain platform security, uptime, and performance what 9s
  • Build and manage cloud infrastructure (AWS, GCP, or Azure)
  • Set up and maintain CI/CD pipelines and deployment processes
  • Integrate AI/LLM APIs into product features where appropriate
  • Evaluate and select the right AI models and tools for each use case
  • Diagnose and resolve production issues — including outside business hours
  • Write modular, documented, maintainable code
  • Conduct code reviews and set the technical standard for the team
  • Mentor junior developers
What We're Looking For
  • 6+ years of full stack development experience in a production setting
  • Backend — strong proficiency in Node.js, Python, or PHP
  • Frontend — strong proficiency in React, Vue, or Angular
  • Databases — Postgre

    SQL, MySQL, or Mongo

    DB; knows when to use which
  • Cloud infrastructure — hands-on experience with AWS, GCP, or Azure
  • Dev Ops — CI/CD pipelines, Docker, deployment management
  • Security — OWASP Top 10, secure coding practices, access control
  • Actively uses AI developer tools — Claude, GPT-4o, Gemini, Cursor, Copilot, and others
  • Understands AI concepts — prompt engineering, RAG, embeddings, agents, tool use
  • Can explain technical decisions and tradeoffs to a non-technical audience
Bonus Points
  • Production experience integrating LLM APIs (Anthropic, OpenAI, Google, or open-source models)
  • Experience with AI agent frameworks — Lang Chain, Llama Index, or similar
  • Familiarity with open-source models (Llama, Mistral, or similar)
  • Experience with vector databases (Pinecone, Weaviate, pgvector)
  • Background in SaaS or high-traffic web applications
  • Portfolio or live examples of work
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Position Requirements
10+ Years work experience
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