8 часов назад
Software Engineer (Python)
106 000 - 132 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (Python) (PricingCenter): Building secure, scalable pricing and rating APIs and services for cloud-based P&C insurance solutions with an accent on Python backend engineering, insurance pricing algorithms, and production reliability. Focus on designing performant services, optimizing data-intensive workloads, and implementing observability, deployment, and operational excellence practices.
Location: Hybrid, Mississauga, Ontario, Canada
Salary: CAD 106,000–132,000 gross annual base salary
Company
provides a cloud platform combining digital, core, analytics, and AI capabilities for property and casualty insurers.
What you will do
- Build and maintain Python backend APIs and services using Flask, FastAPI, SQLAlchemy, and Pydantic.
- Design insurance pricing algorithms, models, and data visualizations.
- Translate business requirements into secure, high-quality production features with product management.
- Own the full development lifecycle, including architecture, technical spikes, proofs of concept, development, testing, and deployment.
- Improve application reliability and observability through logging, metrics, tracing, dashboards, and alerting.
- Participate in agile ceremonies, RFC and ADR documentation, peer reviews, and incident root-cause analysis.
Requirements
- 4+ years of professional software development experience.
- Hands-on experience building and deploying web applications and Python-based backend APIs.
- Experience with a major cloud platform such as AWS, GCP, or Azure.
- Experience with containerization and orchestration using Docker and Kubernetes, plus CI/CD and DevOps practices.
- Strong knowledge of algorithms, data structures, performance optimization, and relational databases such as PostgreSQL.
- Excellent communication skills and the ability to explain technical concepts.
Nice to have
- Experience with FastAPI, SQLAlchemy, Pydantic, or Celery.
- Familiarity with NoSQL databases such as Redis.
- Exposure to LLMs and AI development tools such as Claude or Copilot.
- Data engineering experience or familiarity with NumPy, pandas, or Polars.
- Full-stack experience with TypeScript and React.
Culture & Benefits
- Collaborative hybrid environment with close partnership across product, UX, and data teams.
- Health, dental, and vision insurance.
- Paid time off.
- Company-sponsored retirement plan.
- Potential eligibility for annual bonuses, commissions, or long-term incentive awards depending on the role and performance.
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