3 months ago
Montréal, CanadaSenior
Responsibilities
- Design, develop, and optimize Python backend services for financial forecasting automation and modernization.
- Develop distributed architectures and data pipelines using DataIQ, Databricks, and Snowflake.
- Automate weekly and monthly processing using Python and SQL.
- Collaborate with engineering, data, and infrastructure teams to integrate solutions.
- Analyze technical requirements, propose robust solutions, and contribute to architectural decisions.
- Participate in design reviews and improve code, processes, tools, automated tests, CI/CD, and monitoring.
- Ensure application performance, reliability, and security in a regulated, multi-team environment.
- Integrate with Teradata and legacy platforms while directing deliverables toward Snowflake.
Requirements
- Bachelor’s degree in computer science, software engineering, or a related field.
- At least 5 years of Python development experience in complex environments.
- Required experience in banking or large financial institutions.
- Strong knowledge of SQL and NoSQL databases such as MongoDB.
- Proficiency with Linux environments and DevOps practices, including Git, CI/CD, and containerization.
- Familiarity with DataIQ, Databricks, and Snowflake.
- Excellent spoken and written English.
Benefits
- Four weeks of cumulative vacation from the start of employment.
- Flexible hours and a hybrid work model in Montreal.
- Professional development allowance for training, computer equipment, and physical activities.
- Training tailored to areas of expertise.
- RRSP with employer contributions of up to 3% of gross salary.
- Modular group insurance.
- Public transportation or parking reimbursement when required.
- Referral bonuses, 11 statutory holidays, and personal days.
- Active social life with social events, a social club, healthy snacks, and coffee.
- Full-time, permanent employment.
About Levio
Levio is a Quebec City–based technology consulting and systems integration firm delivering digital transformation for enterprises and the public sector. It provides services in cloud, cybersecurity, data platforms, and applied AI (including hyperautomation and data mesh). Founded in 2014 and privately held, it serves clients in finance, insurance, healthcare, aerospace, retail, and government, and received private‑equity investment in 2024.