2 hours ago
Montréal, CanadaStaff+
Responsibilities
- Own the target architecture, technical strategy, roadmap, and end-to-end delivery for the modernization of the Policy Administration System.
- Lead the migration away from legacy systems and integrate the platform with enterprise systems through modern APIs and services.
- Establish automated testing, deployment practices, observability, scalability, security, performance, monitoring, logging, load testing, and vulnerability management.
- Embed approved AI models into underwriting, pricing, recommendations, and core enterprise systems in partnership with Intact Lab and Data & AI teams.
- Drive AI adoption across the product development lifecycle, including design, development, testing, and release processes.
- Set standards for data controls, secure-by-design engineering, regulatory compliance, and risk mitigation.
- Mentor developers, grow the engineering community, translate business goals into technical roadmaps, and build consensus with business and technology stakeholders.
- Advise executives, negotiate priorities and timelines, evaluate emerging technologies through proofs of concept, and define metrics for reliability, performance, user satisfaction, and delivery flow.
Requirements
- 15+ years of software engineering and enterprise architecture experience, including building or modernizing a Policy Administration System or comparable mission-critical system.
- Deep expertise in system design, integration patterns, data management, and data governance.
- Deep proficiency in Java, with Spring Boot experience, and modern web front ends; Angular is an asset.
- Experience with RESTful APIs, microservices, large-scale in-house codebases, and modernization without disrupting delivery.
- Hands-on experience using AI to accelerate how teams design, build, and ship software, plus demonstrated AI integration in enterprise systems.
- Experience with AWS, Azure, or GCP and cloud-native architectures.
- Strong leadership, communication, stakeholder management, influencing, negotiation, and consensus-building skills.
- Bachelor’s degree in computer science or software engineering, or equivalent experience.
- For candidates located in Quebec, bilingualism is required to regularly interact with English-speaking colleagues across Canada.
- Candidates must be eligible to work in Canada from the anticipated start date and throughout employment; no Canadian work experience is required.
Benefits
- Flexible work arrangements and a hybrid work model.
- Possibility to purchase up to five additional days off per year.
- Physical and mental wellbeing benefits, including telemedicine and a wellness account.
- Share plan and other savings opportunities, including an employee share purchase plan with 50% matching of net shares.
- Defined benefit pension plan with the opportunity for guaranteed income for life.
- Annual bonus target of 20% of base salary, subject to personal and company performance.
- Competitive compensation, benefits, and opportunities for career growth.
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