Full Stack Python Developer - Django & FastAPI

Toronto 9 days agoFull-time External
Negotiable
Python Developer Toronto - Hybrid (3-4 days WFO) Must-have An engineer mindset, SDLC experience with production class delivery, strong analytical mindset, communication skills, and sense of ownership / drive5+ years of development experience in one of the following languages: Python, RUST, GO, Elixir, Erlang, Django framework Experience with application and system design patternsExperience with Docker or KubernetesExperience with Agile methodologies, ie SCRUM Nice to Have Technology experience Experience using DevOps CICD tools such as GitHub, Jenkins, UrbanCode Deploy Experience with a public cloud technology, ie AWS, Azure, GCP Experience building or supporting distributed applications Nice to Have Business experience FinTechDeFiCrypto & BlockchainAI/MLExperience working with Agile/Scrum development methodology Role Descriptions: This candidate profile demonstrates strong full-stack Python capabilities with 5 years of experience spanning backend development| web applications| and data processing. The combination of Django| Flask| and FastAPI experience shows versatility across different use cases - from rapid prototyping to high-performance APIs. The pandas proficiency for handling millions of records suggests they can work with enterprise-scale data volumes.Notable Technical StackFrameworks Django| Flask| FastAPI| Django REST Framework - covers the major Python web frameworksTesting PyTest with CICD integration shows good development practicesInfrastructure UnixLinux experience is essential.Data Strong SQL and pandas combination is valuable for data-heavy applicationsIntegration Solace middleware experience indicates enterprise messaging system knowledge Essential Skills: This candidate profile demonstrates strong full-stack Python capabilities with 5 years of experience spanning backend development| web applications| and data processing. The combination of Django| Flask| and FastAPI experience shows versatility across different use cases - from rapid prototyping to high-performance APIs. The pandas proficiency for handling millions of records suggests they can work with enterprise-scale data volumes.Notable Technical StackFrameworks Django| Flask| FastAPI| Django REST Framework - covers the major Python web frameworksTesting PyTest with CICD integration shows good development practicesInfrastructure UnixLinux experience is essential.Data Strong SQL and pandas combination is valuable for data-heavy applicationsIntegration Solace middleware experience indicates enterprise messaging system knowledge Desirable Skills: Keyword: Skills: Digital : Python Experience Required: 8-10