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Fastapi Jobs in Ontario (NOW HIRING)

Drive Capital

Senior Software Engineer

Toronto, ON · On-site

$100 - $130/hr

Build and evolve FastAPI microservices that power real-time content workflows, handling complex state machines for onboarding, content generation, and recommendation pipelines. Optimize PostgreSQL ...

New

Chubb

Senior Full Stack Engineer

Toronto, ON

Integrate frontend applications with NestJS and FastAPI backends via REST APIs, Server-Sent Events (SSE) for streaming AI responses, and multipart file upload pipelines * Author unit, component, and ...

Releady

Senior Backend Engineer (SQL/Python)

Toronto, ON · On-site +1

CA$135/hr

The ideal candidate has hands-on experience with FastAPI (or similar Python frameworks), strong SQL proficiency, and experience working with analytics, reporting, or data-heavy applications in ...

Releady

Senior Backend Engineer (SQL/Python)

Toronto, ON · On-site +1

CA$135/hr

The ideal candidate has hands-on experience with FastAPI (or similar Python frameworks), strong SQL proficiency, and experience working with analytics, reporting, or data-heavy applications in ...

Citigroup

Develop scalable, high‑performance backend services in Python (FastAPI, asyncio) with resilient APIs, event‑driven designs, and microservices architectures. * Build and maintain robust data ...

New

Chubb

Senior Backend Engineer

Toronto, ON

The backend spans three production services: a TypeScript NestJS middleware layer handling authentication, data access, and business logic; a Python FastAPI RAG orchestration service integrating ...

Citibank (Switzerland) AG

Proficient in popular frameworks like Django or FastAPI * Solid understanding of OOP and data structures * Experience with databases like MySQL or MongoDB * Knowledge of AWS and container ...

New

08763 Citi Canada Technology Services ULC

Candidates should possess a strong background in enterprise software, coupled with hands-on expertise in Python, FastAPI, and TypeScript. In this role, you'll collaborate with multiple teams to ...

New

Codal

Senior Full Stack Engineer

Toronto, ON · On-site

Design, develop, and maintain scalable fullstack applications using React/NextJS (TypeScript) on the frontend and Python (Django/FastAPI) or Node.js (Express/NestJS) on the backend. * Collaborate ...

Codal

Senior Full Stack Engineer

Toronto, ON

CA$110K - CA$125K/yr

Design, develop, and maintain scalable fullstack applications using React/NextJS (TypeScript) on the frontend and Python (Django/FastAPI) or Node.js (Express/NestJS) on the backend. * Collaborate ...

RBC

... FastAPI * Track record of simplifying complex AI and ML concepts for non-technical audiences and influence senior leaders across business and technology functions to drive AI adoption and align ...

New

NTT DATA Services

AI Developer (REMOTE)

Toronto, ON · Remote

CA$84K - CA$146K/yr

Develop scalable backend AI services and APIs using Python frameworks such as FastAPI and Flask. * Create automated test cases and validation frameworks to evaluate AI outputs for reliability, bias ...

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All JobsFastapi JobsFastapi Jobs in Ontario

Fastapi information

See Ontario salary details

$119.5K

$135K

$152.5K

How much do fastapi jobs pay per year?

As of Jul 9, 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.
Senior Software Engineer

Senior Software Engineer

Drive Capital

Toronto, ON • On-site

$100 - $130/hr

Other

Posted 2 days ago

Job description

Role Overview

We are looking for a Senior Software Engineer to drive the technical direction of Yolando, our flagship AI Search Optimization platform. You will own AI/LLM systems end-to-end, designing production agents using Pydantic AI for content generation and competitive intelligence. As a technical leader, you will architect scalable backend services using FastAPI and PostgreSQL, build real-time collaborative systems with WebSockets, and mentor engineers to establish patterns that scale.

Key Responsibilities

  • Own AI/LLM Systems End-to-End: Design and build production AI agents using Pydantic AI for content generation, brand analysis, and competitive intelligence. Implement tool-based architectures that enable agents to explore signals and generate recommendations at scale.

  • Architect Scalable Backend Services: Build and evolve FastAPI microservices that power real-time content workflows, handling complex state machines for onboarding, content generation, and recommendation pipelines. Optimize PostgreSQL with pgvector for embedding-based semantic search and deduplication.

  • Build Real-Time Collaborative Systems: Implement WebSocket-based real-time collaboration features, including document synchronization, streaming AI responses, and live status updates using technologies like Yjs CRDTs.

  • Drive Infrastructure Excellence: Own service deployment on GCP/Kubernetes with KEDA event-driven autoscaling. Design ScaledJobs for background processing, implement zero-downtime migrations, and establish observability patterns with Logfire.

  • Lead Technical Direction: Mentor engineers, drive architectural decisions, and establish patterns that scale. Own complex features from design through production rollout, coordinating across frontend and data engineering teams.

What We're Looking For

  • 5+ years backend engineering with Python and production experience with FastAPI or similar async frameworks.

  • Proven track record building AI/LLM-powered applications in production (prompt engineering, agent architectures, tool use patterns).

  • Deep experience with PostgreSQL, including query optimization, indexing strategies, and migrations at scale.

  • Strong understanding of distributed systems: event-driven architectures, background job processing, caching patterns.

  • Experience with GCP, Kubernetes, and Terraform for production infrastructure.

  • Track record of technical leadership: mentoring, architectural decision-making, cross-team coordination.

  • Ownership mindset: you drive features end-to-end, from design through production support.

Bonus if you have

  • Experience with vector databases (pgvector, Pinecone) and embedding-based search/RAG systems.

  • Background in real-time systems: WebSockets, CRDTs, collaborative editing.

  • Familiarity with Pydantic AI or similar structured LLM frameworks.

  • Experience with KEDA or other event-driven autoscaling patterns.

  • Background in SEO, content marketing, or marketing technology.

Our Stack

  • Backend: Python 3.11, FastAPI, SQLModel, PostgreSQL/pgvector, Pydantic AI, Redis

  • Frontend: Next.js 14+ (App Router), React 19, TypeScript, Plate.js, Radix UI

  • Infrastructure: GCP (Cloud Run, Pub/Sub, AlloyDB), Kubernetes, KEDA, Terraform, GitHub Actions

  • Observability: Logfire, PostHog

  • Data: Databricks, Protocol Buffers, Alembic migrations

Why Join Us?

  • Join an innovative, fast-growing startup building cutting-edge AI marketing solutions.

  • Make a meaningful impact by shaping the platform's user experience, design identity, and overall success.

  • Dynamic environment with opportunities for real ownership, learning, and growth.

  • Competitive salary and support for professional development.

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