Education: Bachelor’s or Master’s degreeExperience: 5–10+ years (backend-focused)Note : In person Interview in Toronto is MANDATORY.Role Overview Client is looking for a skilled Python Backend Engineer to build and scale high-performance backend systems. This role will focus on API development, platform engineering, and system design, supporting enterprise-grade, scalable, and secure financial platforms.Key Responsibilities Design, develop, and maintain scalable backend services using PythonBuild and manage RESTful APIs and backend integrationsContribute to platform engineering initiatives, ensuring reliability and scalabilityLead and contribute to system design discussions for distributed systemsCollaborate with frontend, Dev Ops, and product teams to deliver end-to-end solutionsOptimize performance, security, and observability of backend servicesParticipate in code reviews and ensure engineering best practicesRequired Skills & Qualifications Strong experience with Python for backend developmentHands-on experience with API design and development (REST, JSON,



Open API)Solid system design experience (scalability, fault tolerance, performance)Experience in platform engineering or building shared backend platformsStrong understanding of databases (SQL and No SQL)Experience with cloud platforms (AWS, Azure, or GCP)Familiarity with CI/CD pipelines, Git, and Dev Ops practicesBachelor’s or Master’s degree from a Canadian university or collegeStrong communication and problem-solving skillsPreferred Qualifications Experience in financial services / fintech environmentsKnowledge of microservices architectureExperience with containerization (Docker, Kubernetes)Exposure to security, compliance, and high-availability systemsWhy Join Prospect to work on mission-critical financial platformsExposure to large-scale, high-impact systemsCollaborative, engineering-driven cultureNote: We are looking for Python backend with Strong API experience with fintech industries.#J-18808-Ljbffr

📌 Back End Developer-Python (Toronto)
🏢 SRA Group
📍 Toronto