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Cloud Full Stack Engineer Jobs in Toronto, ON (NOW HIRING)

Full Stack Engineer About the Role We are seeking an Full Stack Engineer to design, develop, deploy ... Experience with cloud-based LLM platforms (e.g., Azure OpenAI or equivalent). Familiarity with LLM ...

Senior Full-Stack Engineer (Media Team) Location: Ottawa, ON or Toronto, ON | Hybrid Department ... Our cloud-based platform integrates seamlessly with your existing cameras and systems, turning them ...

Staff Full-Stack Engineer - .NET, React & AI Are you a highly experienced full-stack engineer who ... Experience working with a public cloud platform, with Azure preferred, including cloud compute ...

Full Stack Engineer Role Overview We are seeking an experienced Full Stack Developer with strong Java expertise to join a technology team focused on building and enhancing scalable, high-performance ...

Staff Full-Stack Engineer - .NET, React & AI Are you a highly experienced full-stack engineer who ... Experience working with a public cloud platform, with Azure preferred, including cloud compute ...

... AI SME / Full Stack Engineer to join our IT team. In this role, you will lead the design ... Architect and manage Azure cloud infrastructure including App Services, Azure Functions, Logic Apps ...

The Opportunity We are looking for a Full Stack Engineer to join our Product & Engineering team. This role will have a strong backend focus, but with the ability to contribute across the stack as ...

Senior Full Stack Software Engineer

Toronto, ON · Hybrid

CA$113K - CA$163K/yr

Senior Full-Stack Engineer - Capital Markets & Derivatives Are you passionate about building ... Build cloud-native solutions on Azure using modern engineering practices * Integrate market data ...

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Showing results 1-20

Cloud Full Stack Engineer information

See Toronto, ON salary details

$43.9K

$137.1K

$175.1K

How much do cloud full stack engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for cloud full stack engineer in Toronto, ON is $137,054.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,475.00 and $162,237.00 per year, depending on experience, location, and employer.

What cities near Toronto, ON are hiring for Cloud Full Stack Engineer jobs?

Cities near Toronto, ON with the most Cloud Full Stack Engineer job openings:

Infographic showing various Cloud Full Stack Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $137,054 per year, or $65.9 per hour.

Full Stack Engineer

Toronto, ON

Full-time

Re-posted 13 days ago


Job description

Job Description Full Stack Engineer About the Role We are seeking an Full Stack Engineer to design, develop, deploy, and support AI-powered applications using modern large language model (LLM) technologies. You will work as part of a collaborative DevOps team, delivering production-ready solutions while contributing to automation, continuous improvement, and operational excellence. Responsibilities Design, develop, test, deploy, and support AI applications throughout the software development lifecycle.

Build LLM-based solutions, including AI agents, Retrieval-Augmented Generation (RAG), and multi-step workflows. Develop and integrate RESTful APIs and backend services. Collaborate with cross-functional teams to deliver business requirements using iterative development.

Support production systems, troubleshoot issues, and contribute to continuous improvement. Identify and address technical debt while delivering new functionality. Write automated unit tests and contribute to CI/CD and DevOps practices.

Participate in code reviews, knowledge sharing, and team collaboration. Required Qualifications: 3+ years of software engineering experience. Strong Python development skills.

Experience with LLM application development, including AI agents, RAG, prompt engineering, and tool/function calling. Experience with LangChain, LangGraph, or similar LLM orchestration frameworks. Strong SQL skills and experience designing RESTful APIs.

Experience with cloud-based LLM platforms (e.g., Azure OpenAI or equivalent). Familiarity with LLM observability tools such as LangFuse or LangSmith. Strong analytical and problem-solving skills

Experience writing unit tests and supporting production applications. Preferred Qualifications Experience with Parquet, DuckDB, or other analytical databases. Familiarity with LiteLLM or multi-LLM routing frameworks.

Working knowledge of Java and Unix/Linux environments. Experience with CI/CD and Agile/DevOps practices.