Job Description
What is the opportunity?
We are hiring an experienced lead Python engineer to build reliable and scalable systems for financial risk management and MLOps platform for risk modeling. This role is for an engineer who is passionate about operational excellence and clean code.
What will you do?
Design, develop, deploy, and maintain production‑grade Python applications for batch data processing, APIs, and web applications.
Ensure robustness and reliability through strong design, exception handling, structured error recovery, and logging, monitoring, and observability for operational insight into running systems.
Manage reproducible environments using virtual environments (e.g., uv, venv, poetry, pipenv) and packaging to ensure deployment consistency and reproducibility.
Build and maintain CI/CD pipelines with tools such as GitHub Actions, automating build, test, and deployment workflows.
Collaborate closely with Business, DevOps, and SRE teams to ensure smooth transitions from development to production.
Participate in code reviews, implementing best practices for readability, maintainability, and performance.
Contribute to engineering standards, including automated testing, code reviews, templates, frameworks, toolchains, operational processes, deployment, and technical documentation.
Develop and distribute reusable Python packages.
What do you need to succeed?
Must Have
5+ years of professional Python experience developing and deploying backend applications.
Proven ability to design and implement fault‑tolerant error and exception handling strategies.
Experience with one of the frameworks: FastAPI, Flask, or Django.
Hands‑on experience with virtual environments and dependency management tools.
Solid understanding of CI/CD automation (GitHub Actions preferred) and Git-based workflows.
Background in deploying and running applications on Linux VMs.
Experience in designing databases (relational and/or NoSQL) and working with HDFS, S3, and API integrations.
Debugging, troubleshooting, and performance optimization skills.
Experience in developing and distributing reusable Python packages.
Excellent communication and collaboration skills, with the ability to work effectively with cross‑functional teams.
Nice to Have
Experience deploying, monitoring, and debugging applications in the cloud (e.g., AWS EC2, ECS, Lambda, S3, RDS).
Experience with asynchronous programming (asyncio, Celery).
Experience with converting Python code to Cython to improve performance.
Familiarity with observability platforms (e.g., Prometheus, Grafana, CloudWatch, ELK).
Experience working on open‑source projects.
What’s in it for you?
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
Leaders who support your development through coaching and managing opportunities.
Ability to make a difference and lasting impact.
Work in a dynamic, collaborative, progressive, and high‑performing team.
A world‑class training program in financial services.
Flexible work/life balance options.
Opportunities to do challenging work and take on progressively greater accountabilities.
Access to a variety of job opportunities across business and geographies.
Additional Job Details
Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
City: Toronto
Country: Canada
Work hours/week: 37.5
Employment Type: Full time
Platform: TECHNOLOGY AND OPERATIONS
Job Type: Regular
Pay Type: Salaried
Posted Date: 2025-12-04
Application Deadline: 2025-12-31 (Applications accepted until 11:59 PM on the day prior to the deadline).
Inclusion and Equal Opportunity Employment
At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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