Intermediate Software Developer, Full Stack (Python/React)

Pay at Intact is about much more than just salary.

• 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)

Salary range (but not limited to):

94,200 - 115,200

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

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. However, we encourage candidates who may fall outside of this range to apply as well.

About the role

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

What you'll do here:

• 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, backpressure, 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 TypeScript 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 load.
• Share knowledge with interns, data scientists, and software developers to help the team grow.

What you bring to the table:

• A bachelor’s degree in computer science, software engineering or any combination of equivalent education and experience.
• Proficiency in Python, REST/ GraphQL APIs, AWS (S3, Lambda, Sagemaker or similar services).
• Experience with machine learning and scientific computing libraries such as scikit-learn, NumPy, SciPy, Tensorflow, etc.
• Experience with pipelines, Ingestions/automations.
• Good knowledge of software engineering practices such as design patterns, knowledge of the development cycle and other tools such as Git, Jira, Confluence.
• The commitment to be a great, collaborative teammate.
• Unlimited curiosity and a passion to challenge the status quo.
• Ability to focus on vaguely defined issues requiring the application of a creative approach.
• Strong communication, time management and work organization skills.
• If you don’t have experience in the AI field, a strong motivation to learn this new and exciting field.
• No Canadian work experience required however must be eligible to work in Canada.
• For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country

Nice-to-have:

• Experience migrating a dependency manager, CI platform, or infrastructure layout in a live codebase.
• Experience building local development and integration-test harnesses using emulated cloud services.
• Experience tuning containerized services for resource utilization, concurrency, latency, throughput, and cost.
• Knowledge of DevOps tools such as Kubernetes and ELK.
• Knowledge of MongoDB, Kafka, or comparable data and messaging technologies.
• Experience with advanced document processing, OCR, layout analysis, classification, extraction, and validation workflows.
• Experience developing production data and machine-learning pipelines.
• Experience in the insurance domain.

#LI-Hybrid

Il s'agit d'un nouveau rôle au sein de notre équipe en pleine croissance | This role is a new member of our growing team.