Top Tech Jobs & Startup Jobs in Montreal

Develop, launch, and maintain backend systems for card issuing and transaction processing. Break down projects, collaborate with product/design/analytics, write clear well-tested code, support operations and on-call duties, create/monitor metrics, perform code reviews, and participate in hiring and team growth activities.

Lead design and implementation of Affirm's Lakehouse Platform (Iceberg, Spark, Snowflake). Define technical strategy, enable secure governed access, improve analytics engineering practices, optimize performance and cost, operate at scale, mentor engineers, and collaborate cross-functionally to deliver reliable, discoverable, and cost-efficient analytical data infrastructure.

Manage Affirm's licensing portfolio and regulatory filings across U.S. and international jurisdictions. Support product launches, maintain licensing repository, prepare renewals and reports (NMLS, MSB), ensure timely filings, improve processes (including AI automation), and coordinate cross-functionally with legal, compliance, finance, tax, and senior leadership.

Manage a portfolio of enterprise and SMB merchant accounts in Canada, driving adoption, growth, and retention. Define strategic account plans, negotiate commercial terms, analyze performance, and orchestrate cross-functional teams to deliver partner initiatives and business outcomes.

Lead development of scalable data products for Revenue: design dbt models, metrics, dashboards, governance, and AI enablement. Drive data architecture, quality, lineage, documentation, and automation; mentor analysts and align stakeholders to deliver reliable revenue analytics and reporting.

Build and iterate underwriting ML models for real-time transaction decisions. Develop feature pipelines and training datasets, prototype and evaluate models, productionize into batch or real-time systems, and instrument model/data health, retraining, and monitoring. Collaborate with engineering, risk, product, and ML platform teams to deploy robust, low-latency solutions with appropriate risk controls.

Design and build a next-generation reliability platform for production systems, lead delivery of quarterly goals, collaborate across product/design/analytics, support operations and on-call, set code and design standards, mentor engineers, and integrate AI/LLM-assisted tooling to improve service health and debugging.

Lead and deliver backend batch infrastructure work: own quarterly goals, design and build reliable scalable compute for batch workloads, collaborate with product and stakeholders, run ops/on-call, set code/design standards, mentor engineers, and drive platform reliability and performance.

Build, operate, and extend Affirm's data platform and application tooling to enable self-service data applications at scale. Implement platform features (provisioning, CI/CD, access control), integrations, data governance, automation, observability, and on-call operations. Contribute to roadmap for semantic layers, agentic data tooling, and AI-native workflows while raising engineering and operational standards.

Build and maintain scalable integration and end-to-end test automation frameworks and CI pipelines. Optimize test execution, improve stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate across regions to evolve the companys test strategy and developer productivity tooling.