Intermediate Software Developer, Full Stack; Python​/React

Pay at Intact is about much more than just salary.

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.

Our employee promise represents Intact’s commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

• Flexible work arrangements and a hybrid work model
• Possibility to purchase up to 5 extra days off per year
• Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more
• Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

94,

10%

As part of our commitment to Win As A Team
, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) – with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles.

We’re looking for an Intermediate Software Developer, Full Stack (Python/React) to join our growing AI Engineering team and help build reliable, production-grade AI and data products for one of Canada’s largest P&C insurers. You’ll contribute across the full technology stack—from information extraction and LLM-powered features to distributed systems, frontend platforms, cloud infrastructure, and delivery automation

• Work within a multidisciplinary environment that brings together data science, software engineering, actuarial science, business, and design.
• Design, build, test, deploy, and operate reliable services and data pipelines in production.
• Develop end-to-end information extraction solutions, including classification, OCR and document-layout processing, model-based extraction, downstream refinement, and validation.
• Take LLM- and machine-learning-backed features from prototype to production by integrating cloud model providers and balancing quality, latency, reliability, and cost.
• Design and own distributed system components, including queue-based pipelines, fan-out and fan-in workflows, back pressure, idempotency, failure handling, retry semantics, and safeguards against data loss or duplication.
• Diagnose and resolve issues across distributed pipelines using structured logs, custom metrics, and traceable queries that follow a failed request through the system.
• Influence the AI roadmap of the biggest P&C insurer in Canada.
• Build and maintain frontend applications and shared React component libraries in a monorepo, with a focus on Type Script design, build performance, bundling, and production delivery.
• Develop and maintain infrastructure as code using Terraform, including reusable modules, remote state, provider version pinning, and multi-environment configurations.
• Design and operate AWS solutions beyond application services, including networking, load balancing, API gateways, encryption and key management, IAM, and log and metric delivery pipelines.
• Design CI/CD workflows, including reusable pipelines, environment matrices, and production approval gates.
• Keep pace with new technologies and apply them thoughtfully to improve your solutions.
• Tune containerized services for performance and cost by evaluating resource sizing, concurrency limits, and actual bottlenecks under…