- As we transition into an AI-First Operating Model and move from exploration into execution at scale, we are seeking a seasoned Senior Quality Engineer to join our QE org and lead quality on FinData portfolio—spanning financial data generation, delivery, and user-facing experiences across multiple engineering teams
- In this high-impact role, you will be accountable for architecting the quality standards that underpin our next generation of market intelligence

- Your remit is to define how we build, test, and operate in an AI-centric ecosystem

- You will lead quality initiatives that ensure our engineering workflows—covering everything from complex data pipelines and AI model validation to system observability and agentic search interactions—are robust, scalable, and AI-boosted

- You will be a key leader in establishing “AI-First” as our standard operating procedure, defining the quality gates that enable us to deliver state-of-the-art market intelligence with confidence and precision at scale

- Define and drive the long-term testing strategy and quality culture for the AI Platform, emphasizing “Quality by Design” and “Automation by Default.”

- Define quality metrics and coverage standards, partnering with product and engineering teams to ensure data-driven, measurable, and self-sustaining quality outcomes

- Grow test coverage through scalable, domain-specific automation and define/maintain complex test datasets, partnering with developers to ensure automation readiness

- Guide and support test planning for new features, ensuring alignment with acceptance criteria and coverage across unit, integration, and E2E layers





- Continuously improve and streamline testing processes; perform targeted exploratory testing to discover risks, inform automation, and validate model outputs

- Coach and mentor engineers on sustainable, scalable quality practices, serving as a strategic partner to ensure delivery standards are met through rigorous release gates

Benefits

- Work from home opportunities- Experience with UI test automation frameworks (e.g., Playwright)

- Strong understanding of continuous delivery

- Demonstrated ability to operate and set direction autonomously, without a dedicated QE team or manager in place

- Experience with Test Management Systems (e.g., Allure TestOps)

- Experience coaching engineering teams on quality-by-design and shift-left practices, influencing without direct authority

- Excellent test design skills and experience in API testing

- Deep knowledge in at least one of the following programming languages: Kotlin, Python, JavaScript, or Java

- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes)

- Fluency with AI tools and a proven track record of enabling AI tools to accelerate software delivery and processes

- Proficiency in testing methodologies and deep understanding of the QA domain and theory

- Strong communication skills and ability to collaborate with stakeholders across multiple portfolios

- Experience in setting up and configuring CI/CD tools and pipelines

- Proven expertise in Performance Engineering (using k6 or similar) and Observability (OpenTelemetry/Grafana) to drive data-informed quality decisions

- Valuable understanding of GraphQL

- Financial data domain knowledge

- Experience testing backend/data pipeline
- BS/MS degree in a relevant technical discipline such as Computer Science, Engineering, or Information Technology

📌 Senior Quality Engineer (Findata) (Canada)
🏢 AlphaSense
📍 Canada