Overview

Quality Assurance Engineer Jobs in Toronto, Canada at Curinos Inc

Title: Quality Assurance Engineer

Company: Curinos Inc

Location: Toronto, Canada

Category:

Salary Range: CA$ To CA$ Annually

Curinos empowers financial institutions to put customers at the center of every decision. Our AI‑first platform transforms proprietary data, advanced analytics and deep financial services expertise into timely recommendations – delivered right where teams work. The result: confident decisions, stronger customer relationships, and lasting, profitable growth.

Curinos operates under a hybrid modality and has office locations in New York, Chicago, Boston, Toronto, and London. This role is open to hybrid candidates based in Canada and able to travel to our Toronto HUB as needed.

Job Description

Curinos is building a Data Validation Suite that ensures the accuracy, consistency, and reliability of our data APIs and backend data pipelines. We are looking for a QA Automation Engineer with strong API and UI automation skills, data testing aptitude, and a proven ability to leverage AI‑powered tools across all QA activities. You do not need to be a full Data Engineer — we will train you in our Databricks workflows and ETL validation processes.

Responsibilities

1. API & UI Automation

  • Build, maintain, and execute automated API validation suites using Postman/Newman and Python across multiple environments and datasets
  • Design, develop, and maintain UI automation frameworks using Selenium or Playwright to validate data‑driven web applications, dashboards, and reports
  • Develop end‑to‑end automated test suites validating full data flow from backend data pipelines and APIs to front‑end UI visualizations
  • Ensure data rendered in UI components accurately matches underlying data sources and business logic
  • Contribute to scalable and reusable automation frameworks with configuration‑driven API coverage and maintainable Page Object Models
  • Leverage AI coding assistants (e.g., Git Hub Copilot, Claude) to accelerate test development and auto‑generate test cases from OpenAPI/Swagger specifications and UI requirements
  • Apply AI‑powered visual testing and self‑healing locator capabilities to detect UI regressions and reduce test maintenance effort

2. Data Validation & Quality Assurance

  • Design and execute comprehensive data quality validation across platforms, including source‑to‑target mappings, transformation logic, and business rule enforcement
  • Perform SQL‑based data analysis in Databricks to validate completeness, accuracy, null handling, referential integrity, duplication, and aggregation correctness
  • Validate schema evolution, data freshness, and cross‑system reconciliation across upstream sources, data lake/warehouse, and downstream APIs
  • Develop and maintain Python‑based data quality frameworks, validation libraries, and automation pipelines
  • Capture, version, and compare API responses across test runs using JSON baseline comparisons
  • Ensure adherence to data governance, audit, and control requirements, with strong focus on financial and regulated datasets
  • Use AI/ML‑driven data profiling to detect anomalies, distribution shifts, and pattern deviations
  • Identify, analyze, and report data quality and automation failures, performing root cause analysis in collaboration with engineering and data teams
  • Build and maintain quality dashboards using Power BI, Databricks SQL, or Python to track historical trends and validation outcomes
  • Define, monitor, and report data quality KPIs including accuracy, completeness, timeliness, consistency, and validity
  • Use AI‑based summarization tools to auto‑generate execution reports, defect summaries, and quality trend insights, including predictive indicators where applicable
  • Collaborate closely with Data Scientists, Engineers, Product Managers, and stakeholders to define data requirements and quality expectations
  • Participate actively in Agile ceremonies and contribute to sprint planning, execution, and retrospectives
  • Document test strategies, automation coverage, validation workflows, and API contracts in Confluence
  • Leverage AI assistants for test planning, coverage gap analysis, risk‑based prioritization, and consistent documentation maintenance

Salary Range

,000 CAD (plus Bonus)

Desired Skills & Expertise QA & Automation

  • 4–7 years of experience in QA Automation
  • Strong hands‑on experience…

 

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