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Python Engineer

Summary: This

Job Location:

Mississauga - Canada

Hourly Salary: CAD 70 - 75

Posted: 9 September 2026 (12 hours ago)

Application Deadline: 7 December 2026

Vacancies: 1 Vacancy

Job Summary

Summary:

This is a senior development and technical leadership position responsible for designing and implementing scalable secure and resilient platform solutions within the Technology organization.
Work Mode: Not specified

Responsibilities:

Architect design and implement scalable Python-based platforms services and solutions.
Lead the design and implementation of Agentic AI frameworks AI orchestration patterns and MCP-enabled integrations.
Build and maintain highly available microservices-based architectures leveraging enterprise architecture standards.
Design develop and manage RESTful APIs event-driven services and asynchronous processing frameworks.
Drive adoption of event-driven patterns using messaging and streaming technologies such as Kafka MQ or equivalent platforms.
Define technical standards and best practices for service architecture API design observability resiliency and security.
Partner with architecture and infrastructure teams to establish scalable and reusable platform capabilities.
Lead platform integration efforts across AI services data platforms workflow systems and enterprise applications.
Implement robust controls governance monitoring auditing and traceability frameworks for AI-enabled solutions.
Ensure Agentic AI solutions comply with model governance risk management explainability and operational control requirements.
Drive implementation of CI/CD automated testing Infrastructure as Code and DevSecOps practices.
Resolve complex technology challenges through deep analysis of business processes system design and industry best practices.
Provide technical leadership and mentorship to development teams globally.
Review system designs and code to ensure alignment with enterprise architecture and engineering standards.
Collaborate with business stakeholders risk partners and technology leadership to define strategic technology solutions.
Assess technology risks identify control gaps and ensure compliance with enterprise technology policies and regulatory expectations.
Support production stability performance optimization and platform modernization initiatives.

Requirements:

Bachelors degree in Computer Science Engineering Information Systems or related STEM field.
Minimum 8 years of software engineering experience with at least 5 years developing enterprise Python solutions.
Strong hands-on expertise in Python FastAPI Flask REST APIs and microservices development.
Experience designing distributed event-driven systems and asynchronous architectures.
Experience building enterprise integration solutions using Kafka MQ Event Hubs or similar messaging technologies.
Experience with Agentic AI architectures AI orchestration frameworks MCP and LLM-enabled applications.
Strong understanding of software architecture system design scalability resiliency and security principles.
Experience implementing CI/CD pipelines automated testing and DevOps practices.
Experience working with Linux shell scripting containers and cloud-native environments.
Strong stakeholder management communication and leadership skills.

Preferred Skills:

Experience with GenAI LLM platforms RAG architectures AI agents and prompt orchestration.
Familiarity with AI governance model risk management controls and auditability frameworks.
Experience with Kubernetes OpenShift Docker and cloud platforms.
Banking risk management regulatory or financial services experience.
Knowledge of capital markets and financial products.

Required Experience:

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