5 дней назад
Senior Quality Engineer (Fintech)
157 500 - 192 500CAD
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Quality Engineer (Fintech): Building quality engineering frameworks, tooling, and CI pipelines for distributed Core Banking and Risk systems with an accent on ACH and wire-transfer reliability, test automation, and developer velocity. Focus on testing microservices and lambdas in CI, removing quality bottlenecks, debugging from first principles, and driving shift-left practices across engineering teams.
Location: Toronto, ON; hybrid
Salary: 157,500–192,500 CAD annually; typical starting salary for full readiness is 175,000 CAD.
Company
is a digital banking platform helping self-made business owners manage money with greater clarity, confidence, and control.
What you will do
- Own the quality roadmap for Risk Engineering and build quality engineering frameworks for Core Banking systems, including ACH and domestic and international wire transfers.
- Build and improve CI infrastructure for distributed systems, including testing lambdas and microservices with Ministack, Wiremock, Localstack, and PostgreSQL.
- Drive shift-left quality practices by embedding with engineering teams, participating in sprint ceremonies, and enabling developers to write tests as part of delivery.
- Identify quality-operations bottlenecks and build internal tools that improve developer experience with minimal third-party dependency.
- Mentor junior quality engineers and contribute to the direction and larger initiatives of the Quality Engineering team.
- Collect and present defect and quality data to engineering leadership and executives.
Requirements
- Hands-on experience building quality engineering systems from the ground up, including frameworks, test suites, and CI systems.
- Experience testing distributed systems such as services, lambdas, microservices, and real-time applications in CI.
- Deep understanding of distributed-system architecture, communication, scalability, resilience, and testing of complex systems.
- Ability to influence development teams, adopt quality practices, and work effectively in agile environments with ambiguity.
- Strong debugging skills using code, logs, and traces to identify root causes.
- Ability to analyze quality data from multiple sources and present meaningful findings to a broad audience, including executives; practical use of AI tools is required.
Nice to have
- Mobile testing experience with Detox.
- Experience with AWS systems.
Culture & Benefits
- Approximately 75% of the role is hands-on building, with the remaining time focused on influence, mentorship, ceremonies, and adoption.
- Autonomy, ownership, direct feedback, and focus on measurable impact are valued.
- AI is actively embedded into everyday engineering work.
- The role supports work on complex, ambiguous problems and initiatives that help small businesses thrive.
Hiring process
- 30-minute Google Meet interview with an Engineering team member.
- 60-minute Google Meet interview with the Hiring Manager, followed by a 90-minute technical interview and case study.
- 45-minute Google Meet interview with a leadership team member.
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