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Senior Python Engineer - AI & Microservices

Rose International
Mississauga, ON

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Détails du poste

Temps plein

Compétences

CI/CD
Droit
Informatique
MCP
Kubernetes
DevOps
Ingénierie
Conception de systèmes
Tests automatisés
Systèmes d'information
Achitecture d'entreprise
Microservices
Docker
Baccalauréat
Systèmes distribués
Analyse des risques
REST
APIs
Services financiers
Linux
Kafka
Flask
Intelligence artificielle
Leadership
Compétences en communication
Python
Shell scripting
Architecture logicelle

Description complète du poste

Date Posted: 07/10/2026

Hiring Organization: Rose International

Position Number: 504021

Industry: Financial Services

Job Title: Senior Python Engineer - AI & Microservices

Job Location: Mississauga, ON, Canada, L5B 1A7

Work Model: Hybrid

Work Model Details: Hybrid -3 days onsite and 2 days remote

Shift: Standard Working Hours

Employment Type: Temp to Hire

FT/PT: Full-Time

Estimated Duration (In months): 6

Min Hourly Rate($): 70.00

Max Hourly Rate($): 75.00

Must Have Skills/Attributes: AI Models, API Development, Banking/Financial, Microservices, Python, Risk Analysis

Experience Desired: Software engineering experience, including 5+ years building enterprise Python solutions (8+ yrs); Experience designing scalable microservices, REST APIs, and event-driven distributed architectures. (8+ yrs)

Required Minimum Education: Bachelor’s Degree

**C2C is not available**

Job Description

Required Education

Bachelor's degree in computer science, Engineering, Information Systems, or related STEM field.

Required Qualifications/Skills/Experience

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, Model Context Protocol (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 Qualifications/Skills/Experience

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.
This is a senior development and technical leadership position responsible for designing and implementing scalable, secure, and resilient platform solutions within the Technology organization.
The role focuses on building next-generation Agentic AI capabilities, Model Context Protocol (MCP) integrations, microservices, APIs, and event-driven architectures that support business-critical applications and AI-enabled workflows.
The successful candidate will partner with business, architecture, data, infrastructure, and technology teams to deliver enterprise-grade solutions while ensuring strong controls, governance, and operational excellence.
This role requires a hands-on technical leader with expertise in Python engineering, distributed systems, cloud-native architecture, API development, and AI orchestration frameworks.

Job Duties

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.

#CT1

**Only those lawfully authorized to work in the designated country associated with the position will be considered.**

**Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**

Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.

California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.

Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.

If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.

Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).

About Rose

Founded in 1993
Office Locations Across the U.S.
150+ Clients: Corporations and Government Agencies
Employee Oriented Company
Challenging Assignments Across the U.S.
Continuous Professional Development

Work Location: Hybrid remote in Mississauga, ON

Postuler rapidement

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