Top Tech Jobs & Startup Jobs in Vancouver

Build and maintain distributed partner solutions across backend services, batch pipelines, frontends, and infrastructure. Design APIs and third-party integrations, implement Infrastructure as Code, integrate AI development tools, monitor production reliability, troubleshoot issues, and collaborate with product managers, QA, engineers, and external partners. Produce technical documentation, participate in architecture discussions, and contribute to code quality, platform stability, observability, and Agile delivery.

Designs, evaluates, and ships production agentic AI systems for claims, customer operations, and partner-facing products. The role establishes architectures, evaluation frameworks, safety controls, metrics, and reusable engineering patterns. It requires hands-on LLM development, error analysis, technical leadership without authority, mentoring, cross-functional collaboration, and assessing new AI opportunities through rapid proofs of concept.

Lead and mentor a 5–7 person engineering team responsible for Travel partner integrations, embedded protection products, hosted purchase flows, and travel ancillaries. Translate product goals into technical roadmaps, guide architecture and delivery, promote operational excellence, and ensure reliable microservices-based systems. Drive responsible adoption of AI-assisted development tools while partnering with product, design, engineering, and external partner teams.

Leads an engineering team building partner-facing analytics and data products, including Claims Benefit Intelligence and Sales Dashboard. Owns technical roadmaps, metrics governance, reliability, data quality, and operational excellence. Develops production-grade agentic AI features with evaluation and guardrails while partnering across Product, Data, AI, Insurance Operations, and commercial teams. The role also requires growing engineers, guiding AI-assisted development, and ensuring insights drive partner decisions.

Own the company-wide data strategy, data product roadmap, platform architecture, governance, and quality frameworks. Lead adoption of a trusted shared data foundation supporting business domains and AI/ML workloads. Partner with commercial, engineering, product, analytics, and data science teams to create valuable partner-facing data propositions. Build and develop a high-performing data organization while influencing executives and partners in a regulated environment.

Lead reliability and infrastructure projects across teams, architect highly available AWS and GCP environments, and build infrastructure-as-code, CI/CD, observability, automation, and security solutions. Manage incidents, champion SLOs and error budgets, improve system performance, optimize capacity and costs, and mentor engineers. The role also involves developing runbooks, reducing operational toil, supporting disaster recovery, and applying AI-assisted development to production engineering workflows.

Leads data operations, analytics, merchant and regulatory reporting teams. Owns semantic-layer metric definitions, data governance, BI adoption, reporting accuracy, OKR instrumentation, and data automation. Partners with engineering, data science, product, actuaries, and executives to translate business needs into trusted data solutions. Builds team capability, improves data literacy, and drives cross-functional accountability across technical and business teams.

Own the strategy, roadmap, development, and execution of Agentic Insights and other data products. Identify proprietary signals across company datasets and transform them into scalable, partner-facing AI-powered insights. Collaborate with engineering, design, operations, and partners; prioritize the backlog; analyze user feedback and product metrics; and deliver products that improve partner decision-making and business outcomes.

Build and evolve CG Admin, a mission-critical internal platform for insurance configuration. Design and implement full-stack features, own complex areas end-to-end, integrate AI coding tools and agentic workflows, ensure reliability and observability, drive technical quality, and mentor engineers to adopt AI-first development practices.

Serve as a technical pre-sales and post-implementation lead: design integrations, build POCs, troubleshoot partner issues, present insights using SQL/BigQuery/Data Studio, manage multiple partner engagements, and recommend automation and process improvements to optimize client experience and growth.