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Fastapi Jobs in Ontario (NOW HIRING)

Providius

Platform Engineer

Hamilton, ON · On-site

Python tooling: pydantic, FastAPI, asyncio, pytest * Frontend: TypeScript, Angular * Data: PostgreSQL, TimescaleDB * Streaming and orchestration: Kafka, Flink * Infrastructure: Linux (Ubuntu), Docker ...

Braze

Senior Software Engineer I, ML

Toronto, ON · On-site

CA$172K - CA$279K/yr

Data Science/Back End: Python (Pyspark, Polars, Ibis), SQL, BigQuery, FastAPI * Architecture/DevOps: Kubernetes, Airflow, Terraform, GCP * We write well-tested, type-hinted, documented, modular code ...

Softchoice

Sr. AI Engineer

Ottawa, ON

CA$91K - CA$114K/yr

Proficient in Python and frameworks such as Flask, langchain, llamaindex, and FastAPI. * Experience with Azure OpenAI Service and working with open-source LLMs. * Experience building Gen AI ...

Softchoice

CA$91K - CA$114K/yr

Proficient in Python and frameworks such as Flask, langchain, llamaindex, and FastAPI. * Experience with Azure OpenAI Service and working with open-source LLMs. * Experience building Gen AI ...

Softchoice

Sr. AI Engineer

Toronto, ON

CA$91K - CA$114K/yr

Proficient in Python and frameworks such as Flask, langchain, llamaindex, and FastAPI. * Experience with Azure OpenAI Service and working with open-source LLMs. * Experience building Gen AI ...

Softchoice

Sr. AI Engineer

Oakville, ON

CA$91K - CA$114K/yr

Proficient in Python and frameworks such as Flask, langchain, llamaindex, and FastAPI. * Experience with Azure OpenAI Service and working with open-source LLMs. * Experience building Gen AI ...

Chubb

AI Engineer

Toronto, ON · On-site

Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn * Familiarity with Continuous Integration ...

Spectrum Health Care

AI Developer

Toronto, ON · Remote

Deploy, evaluate, and optimize AI systems using Docker, FastAPI, and metric‑driven performance monitoring to ensure production reliability and minimize hallucinations Qualifications * Bachelor ...

d1g1t

Senior Software Engineer, Backend

Toronto, ON · On-site

Production experience with Django, or deep experience with another Python web framework such as FastAPI or Flask. * Demonstrated experience owning features or technical projects from design through ...

Konrad

Data Architect

Toronto, ON · Hybrid

CA$120K - CA$150K/yr

Experience with containerization (e.g., Docker) and building production APIs (e.g., FastAPI) and applications (e.g., Django or Flask). * Experience collaborating with data engineering teams on ...

BMO Capital Markets

Tech Lead, AI Engineering

Toronto, ON · Hybrid

CA$75K - CA$141K/yr

Python / NodeJS / Java and AI/LLM frameworks (e.g., Semantic Kernel / MAF, LangChain, LlamaIndex, FastAPI ) * Cloud platforms ( Azure preferred; AWS acceptable ), CDKTF * API development ...

d1g1t

Senior Software Engineer, Backend

Toronto, ON

Production experience with Django, or deep experience with another Python web framework such as FastAPI or Flask. * Demonstrated experience owning features or technical projects from design through ...

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Fastapi information

See Ontario salary details

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$152.5K

How much do fastapi jobs pay per year?

As of Jul 13, 2026, the average yearly pay for fastapi in Ontario is $134,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $140,000.00 per year, depending on experience, location, and employer.

Do any big companies use FastAPI?

Several large companies and organizations use FastAPI for building high-performance APIs due to its speed and ease of use with Python. Notable examples include Microsoft, Netflix, and Uber, which leverage FastAPI in various projects to improve scalability and developer productivity.

What is a FastAPI worker?

A FastAPI worker is a process that runs an instance of a FastAPI application, handling incoming HTTP requests in a production environment. It is typically managed by an ASGI server like Uvicorn or Gunicorn, which can spawn multiple workers to improve concurrency and performance. Understanding how to configure and scale FastAPI workers is important for deploying high-performance APIs.

Is Netflix using FastAPI?

There is no publicly available information confirming that Netflix uses FastAPI in its technology stack. Netflix primarily relies on Java, Python, and other frameworks for its backend services. FastAPI is a popular Python web framework known for its speed and ease of use, but its adoption by specific companies like Netflix is not publicly documented.

What are the key skills and qualifications needed to thrive in the Fastapi position, and why are they important?

To thrive as a FastAPI Developer, you need strong proficiency in Python, REST API design, and knowledge of web frameworks, ideally supported by a relevant degree or industry certifications. Familiarity with tools like Docker, Git, asynchronous programming, and testing frameworks such as Pytest is often required. Excellent problem-solving skills, adaptability, and clear communication are valuable soft skills in this role. These competencies ensure robust API development, seamless collaboration, and the delivery of high-quality software solutions in agile environments.

What are the typical daily responsibilities of a FastAPI Developer?

As a FastAPI Developer, your daily tasks typically include designing and implementing RESTful APIs, writing efficient and maintainable code, and performing thorough testing to ensure reliability and performance. You may also collaborate closely with frontend developers, DevOps engineers, and QA teams to integrate new features and troubleshoot issues. Regular code reviews, documentation, and participation in agile development meetings are common parts of the workday. This collaborative and dynamic environment allows you to make a direct impact on the product while growing your skills through hands-on problem-solving and teamwork.

What is a FastAPI job?

A FastAPI job typically involves developing, maintaining, and optimizing web applications and APIs using the FastAPI framework. FastAPI is a modern, high-performance web framework for Python that is designed for building APIs quickly with automatic OpenAPI generation. Professionals in this role are expected to have experience with Python, asynchronous programming, and API development, often working with databases, authentication, and cloud services.

Is FastAPI in demand?

FastAPI is a popular web framework for building APIs with Python, and demand for developers skilled in FastAPI is growing due to its efficiency and ease of use. Companies adopting modern, high-performance backend solutions often seek developers familiar with FastAPI, especially those with knowledge of asynchronous programming and related tools like Python and Docker.
What are popular job titles related to Fastapi jobs in Ontario? For Fastapi jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Fastapi jobs in Ontario look for? The top searched job categories for Fastapi jobs in Ontario are:
Fastapi jobs near you
Infographic showing various Fastapi job openings in Ontario as of July 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $134,999 per year, or $64.9 per hour.

Platform Engineer

Providius

Hamilton, ON • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 27 days ago

Job description

// About Providius

Providius has been at the forefront of innovation in the Media & Entertainment industry for over a decade, delivering solutions to complex challenges in IP media and IT infrastructure within mission-critical environments.

Headquartered in Hamilton, Ontario, Canada, we are a privately held company focused on building practical, reliable systems that solve real-world problems.

// Position Overview

We’re looking for a platform engineer to build and operate the systems our software depends on. You’ll own the pipelines, services, and infrastructure that take work from prototype to dependable, production-grade operation, with an emphasis on reliability, scalability, and performance.

This role is ideal for someone who is comfortable operating with autonomy, can work through ambiguity, and takes ownership of their work end to end. You’ll contribute hands-on, participate in architectural decisions, and help set the standards for how production systems are built and run.

// Duties and Responsibilities
  • Build, operate, and maintain the pipelines, services, and infrastructure that support production workloads
  • Take features and components from concept through deployment, owning them end to end
  • Design for reliability, scalability, and performance under real-world conditions
  • Develop and maintain testing, monitoring, and observability so issues are caught early
  • Debug and resolve issues across the system, including production environments when needed
  • Collaborate with teammates to break down problems, define requirements, and iterate on solutions
  • Contribute to improving development workflows, tooling, and overall engineering practices

Requirements

// Tech Stack
  • Backend: Python, Java (Spring Boot), C and C++
  • Python tooling: pydantic, FastAPI, asyncio, pytest
  • Frontend: TypeScript, Angular
  • Data: PostgreSQL, TimescaleDB
  • Streaming and orchestration: Kafka, Flink
  • Infrastructure: Linux (Ubuntu), Docker, CI/CD
  • Tools: JIRA, Bitbucket
// Required Skills / Experience
  • 5+ years of experience building and operating production software or data systems
  • Strong fundamentals in computer science and software engineering
  • Experience building and maintaining pipelines, services, or distributed systems
  • Comfortable working across backend services, data, and infrastructure
  • Experience with real-time, streaming, or high-throughput systems
  • Experience working with machine learning or AI-driven systems, including integrating or operationalizing models
  • Experience writing clean, testable, and maintainable code
  • Strong debugging and problem-solving skills
  • Effective communication and collaboration in a team environment
// Nice to haves
  • Experience with high-availability and performance optimization
  • Familiarity with workflow orchestration and scheduling
  • Familiarity with streaming frameworks such as Kafka or Flink
  • Familiarity with networking concepts (a strong plus in our domain)
// Why join Providius
  • Work on systems that operate in real-time, high-stakes environments
  • Small team with high ownership and direct impact
  • Opportunity to grow into architecture and technical leadership

Benefits

  • Dental care
  • Extended health care
  • On-site parking
  • Paid time off
  • Vision care