Job DescriptionWe are seeking a highly experienced and technically proficient Senior Python Developer with 6+ years of hands-on experience to design, develop, and deliver critical, scalable, highly available, and performant applications. This role demands deep technical expertise, a strong focus on execution, and a proven ability to deliver robust software solutions, particularly within quantitative and market risk domains.Key Technical Responsibilities:

- Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications.
- Develop solutions adhering to architectural standards, utilizing in-depth technical and business domain knowledge.
- Enforce industry-standard SDLC best practices and contribute to code quality through reviews.
- Collaborate with cross-functional teams (Risk, Quants, FO, DevOps, Production Support) for seamless delivery.
- Drive development for Stress Testing and Regulatory Risk projects in the Market Risk domain.
- Manage project technical aspects, including planning, governance, and taking ownership of initiatives.
- Deliver high-quality solutions independently within a globally matrixed setting and under tight deadlines.Required Technical Qualifications:I. Core Python & System Development:
- 6+ years of hands-on experience in Application Development, primarily with Python.
- Expert-level Python 3.x proficiency for scalable, resilient, and high-performance applications.
- Advanced knowledge of Python frameworks (FastAPI, Django, Flask), best practices, and design patterns (OOP).
- Strong understanding of software architecture principles and distributed system design (Microservices, Event-Driven Architecture).
- Extensive experience with relational (PostgreSQL, Oracle, SQL Server)



and NoSQL databases (MongoDB, Cassandra, Redis), including advanced SQL.
- Proven expertise in designing, developing, and securing RESTful APIs and integration patterns.
- Hands-on experience with CI/CD systems (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines) for automated deployment.
- Highly experienced with Unix-based operating systems.II. Cloud & DevOps:
- Strong background in cloud platforms (AWS, Azure, GCP), including containerization (Docker) and contributing to Kubernetes orchestration.
- Advanced troubleshooting, debugging, and performance optimization for distributed systems.
- Proficiency in automated testing frameworks (Pytest, unittest) and TDD methodologies.
- Solid understanding of secure coding practices and application security principles (OWASP Top 10).
- Expertise in Git (Bitbucket, GitHub) for advanced branching and pull request workflows.III. Quantitative & Risk Domain:
- Experience developing Quantitative/Calc-intensive Python solutions with advanced computation libraries.
- Sound understanding and exposure to various Risk Methodologies.
- Exposure to mathematical modeling/finance insights.IV.

Artificial

Intelligence (AI) Integration (Exposure):

- Exposure to AI/ML tools and frameworks (TensorFlow, PyTorch, scikit-learn).
- Practical experience with AI tools (Copilot, Devin, Claude/Gemini/GPT) for development workflows.
- Experience with Agentic AI tools,



including writing Agents and Skills, and contributing to Agentic frameworks.
- Understanding and practical application of Generative AI concepts in software development.Professional Skills:
- Deep understanding and practical experience with Agile/Scrum methodologies.
- Exceptional ability to manage priorities and tasks effectively.
- Strong analytical, logical, systems thinking, and critical analysis skills.
- Excellent written and verbal communication for diverse audiences.
- Ability to work independently, take ownership, and collaborate effectively in global teams.Desirable Qualifications:
- Polyglot Programming Exposure (e.g., Java).
- Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing.
- Frontend Development (React, Angular, Vue.js).
- Relevant Cloud or Industry Certifications.
- Experience with banking domain (pricing, risk), CFA/FRM certification.Key Focus Areas / Desirable Skills• Foundational Models: Gemini, OpenAI, Claude, Llama, Local Models• Machine Learning: PyTorch, TensorFlow, Fine-tuning• Frameworks: LangChain, LlamaIndex, Hugging Face• Retrieval Augmented Generation: PostgreSQL, Vector DBs, Advanced Retrieval• Orchestration: LangGraph, Multi-Agent Systems• Development: Python, FastAPI, Async Programming• Deployment: Docker, Production APIs, Monitoring• Applied Methodology: Prompt Engineering, Workflow Design, GenAI OptimizationEducation:
- Bachelor’s degree/University degree or equivalent experience in Computer Science, Engineering, or Technology• Master’s degree preferredThis provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

📌 Senior Python Engineer (Mississauga)
🏢 Linuxassociation
📍 Mississauga