Top Tech Jobs & Startup Jobs in Vancouver

Reviews mortgage applications before and after funding for compliance with underwriting standards, company policies, and regulations. Evaluates financial and legal documentation, identifies suspicious activity and fraud risks, investigates irregular files, prepares quality assurance reports, supports audits, reviews approved and AML lists, and advises underwriting teams on credit, loss mitigation, property, and flood risks.

Diriger le programme de gouvernance, risques et conformité de nesto, notamment la gouvernance des politiques, la cartographie des contrôles, les audits SOC et ISO, l’automatisation GRC, la gouvernance de l’IA, les évaluations des risques et des fournisseurs, ainsi que la continuité des affaires. Le rôle comprend également la direction d’une équipe GRC et l’influence de la direction grâce à des analyses de risques fondées sur des données probantes.

The Senior SRE Developer will improve the reliability, performance, observability, scalability, and automation of a cloud-native mortgage platform. Responsibilities include monitoring with Datadog, optimizing CI/CD pipelines using GitHub Actions, Kubernetes, and ArgoCD, managing infrastructure as code with Pulumi and Crossplane, supporting incident response and on-call operations, defining SLOs, advising on system architecture and capacity planning, and enabling development teams through knowledge sharing and operational best practices.

The Senior SRE Developer will improve reliability, performance, observability, scalability, and automation for cloud-native distributed applications. Responsibilities include monitoring and alerting, metrics and log analysis, CI/CD and infrastructure automation, Kubernetes and ArgoCD deployment improvements, capacity planning, incident management, SLO guidance, developer enablement, system design consultation, and participation in the platform on-call rotation.

Own the roadmap and delivery of Maestro, nesto’s AI mortgage platform. Translate complex lending workflows into PRDs, decision logic, and shipped products; collaborate with ML, engineering, underwriting operations, and business stakeholders; define performance metrics; build feedback loops between AI outputs and expert judgment; and guide product strategy in a regulated, high-ambiguity environment.

Lead development of Maestro, an AI mortgage underwriting and lending engine. Design agentic AI workflows combining rules, LLMs, retrieval, and structured extraction; build model evaluation and monitoring pipelines; guide architecture and code quality; ship production AI features; mentor peers; and lead cross-functional projects from planning through delivery.

Owns major end-to-end features for an AI mortgage underwriting platform. Responsibilities include architectural decisions, technical leadership, code reviews, debugging, performance and reliability improvements, and designing AI workflows that combine deterministic rules, LLM perception, embeddings-based retrieval, and structured outputs. The role requires production LLM experience, backend development expertise, evaluation strategy design, and collaboration across multidisciplinary teams.

Build and maintain scalable automated UI and API test suites using Playwright, integrate testing into CI/CD, and drive end-to-end quality across platform initiatives. Collaborate with architects, developers, product managers, delivery leaders, and QA specialists to define acceptance criteria, prioritize coverage, support UAT, improve testing processes, and standardize quality practices. The role emphasizes automation architecture, hands-on coding, continuous testing, and applying AI to improve test development and maintenance.

Lead automation design and implementation for integrations: build and maintain scalable Playwright E2E suites, integrate tests into CI/CD, drive UI and API test strategy, collaborate with architects and product to define acceptance criteria, support UAT, and improve QA processes and documentation.

Build and maintain scalable Playwright automation for UI and API testing across SaaS integrations. Define test strategies, acceptance criteria, and comprehensive coverage; integrate automated tests into CI/CD; support UAT; review manual test cases; and improve quality processes, documentation, and workflows. The role partners closely with architects, developers, product managers, delivery leaders, and staff QA engineers while applying AI to accelerate test development.