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Fastapi Python Jobs in Toronto, ON (NOW HIRING)

Citi

Python AI Engineer (Hands-On)

Mississauga, ON · On-site

Citi's global AI platforms team is seeking a versatile Python AI Engineer to spearhead the design ... FastAPI, Flask, Pandas, Scikit-learn, Hugging Face; Node.js: Express, NestJS; TypeScript). 3+ years ...

Citi

Python Full Stack Developer - VP

Mississauga, ON · On-site

CA$170/hr

... in Python orJava Deep experience with backend frameworks such as Spring Boot / Spring Core and ... FastAPI Solid frontend experience with modern JavaScript frameworks (React, Angular, or Vue ...

Chubb

Senior Full Stack Engineer

Toronto, ON · On-site

The platform spans four production codebases: an Angular 17 frontend, a React frontend in active development, a NestJS middleware layer, and two Python FastAPI backends handling RAG orchestration and ...

Chubb

Senior Backend Engineer

Toronto, ON · On-site

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 ...

Escalent

Developer, AI Transformation Team

Toronto, ON · On-site +1

CA$135K - CA$155K/yr

Strong proficiency in Python and experience with frameworks such as Django, Flask, or FastAPI * Experience with API development, integration, and web services in production environments * Hands-on ...

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Fastapi Python information

What is the difference between Fastapi Python vs Django Developer?

AspectFastapi PythonDjango Developer
Primary FocusBuilding high-performance APIsDeveloping full-stack web applications
FrameworkFastapiDjango
Work EnvironmentBackend API services, microservicesWeb applications, content management systems
Required SkillsPython, asynchronous programming, REST APIsPython, Django framework, HTML/CSS, databases

Fastapi Python developers specialize in creating fast, scalable APIs using the Fastapi framework, often for microservices and backend systems. Django developers focus on building comprehensive web applications with integrated features. Both roles require Python, but Fastapi emphasizes performance and asynchronous programming, while Django offers a full-stack solution.

What job categories do people searching Fastapi Python jobs in Toronto, ON look for?

The top searched job categories for Fastapi Python jobs in Toronto, ON are:

Fastapi Python jobs near you
Infographic showing various Fastapi Python job openings in Toronto, ON as of September 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution.

Software Engineer (Python) - PricingCenter

Mississauga, ON • On-site

Guidewire Software
Insurance Services • 1 - 5K employees
Learn more about Guidewire Softwareexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

Summary

As part of Guidewire's Product Development & Operations (PDO) organization, you'll join the PricingCenter team that designs and builds the pricing engine at the heart of how P&C insurers rate and underwrite risk in the cloud. We work in a highly collaborative, hybrid environment, pairing closely with product, UX, and data teams to deliver secure, reliable services at scale. Our stack centers on Python, modern web APIs, and cloudnative architectures.
In this role, you will be a productfocused Python engineer who owns features endtoend-from exploring requirements through to production reliability. You'll help shape new pricing and rating capabilities, build performant APIs and services, and guide technical decisions that support PDO's FY26 priorities around AI, cloud adoption, and operational excellence. You will partner with peers across Guidewire to ensure PricingCenter is a marketleading pricing solution that helps insurers modernize, automate, and gain insight from their pricing strategies, directly contributing to Guidewire's mission to transform how the world's P&C insurers do business.

Job Description

What you'll do

  • Execute engineering tasks utilizing Python (RESTful APIs using Flask and FastAPI with extensive use of SQLAlchemy and Pydantic)

  • Design and build proprietary solutions involving insurance pricing algorithms, modeling, and data visualizations.

  • Partner with product management to convert business needs into secure, high-quality production features, applying professional judgment to choose appropriate tools and architectural patterns.

  • Manage the full development lifecycle: analyze requirements, architect solutions, conduct spikes, develop PoCs, and deploy scalable, thoroughly tested production code.

  • Maintain and refine existing applications to ensure consistent alignment with established SLOs.

  • Participate in agile ceremonies, contribute to RFC/ADR documentation, and perform peer code reviews to maintain high engineering standards.

  • Enhance observability and reliability of applications/components by implementing logging, metrics, tracing, dashboards, and alerting that support incident triage, rootcause analysis, and continuous improvement.

What you'll bring

  • Hands-on experience in building and deploying web applications, Python-based backend APIs and major cloud infrastructures (AWS, GCP, or Azure).

  • 4+ years of relevant professional experience in software development.

  • Experience with some of the following: FastAPI, SQLAlchemy, Pydantic, Celery.

  • Practical experience with containerization and orchestration (Docker, Kubernetes) and familiarity with CI/CD and DevOps practices and tools (Github Actions, Git-based workflows).

  • Strong foundation in Algorithms, Data Structures, and performance optimization techniques for scalable applications.

  • Experience with relational databases (like Postgres) and familiarity with NoSQL databases (like Redis) is an advantage.

  • Proactive mindset for learning new technologies, robust work ethic, commitment to resolving technical challenges, and responsibility.

  • Excellent communication skills with the ability to articulate technical concepts.

Nice to have
  • Exposure to Large Language Models (LLMs) and AI development tools (Claude, Copilot).

  • Data engineering background or interest, familiarity with NumPy, pandas, Polars is a plus.

  • Experience with full-stack development with Typescript and React is a plus.

The Canadian CAD base salary range for this full-time position is 106,000.00 - 132,000.00. Your base pay will depend on your experience, skills, education, training, and location among other factors. All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan. In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance.

About Guidewire

Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.

As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.

For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.

Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.

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