The QA Automation Engineer is responsible for ensuring product quality across the software delivery lifecycle, with a strong focus on test automation, quality engineering, and continuous improvement. This role partners closely with Product Owners, Business Stakeholders, Developers, and QA Analysts to understand business requirements, identify risks early, and design scalable automated test solutions that release confidence. The ideal candidate combines strong analytical and research skills with modern automation practices, including cloud-aware testing, CI/CD quality gates, and the effective use of AI assisted tools to improve testing efficiency and quality insight Responsibilities • Serve as the dedicated QA Automation Engineer for assigned scrum teams or automation initiatives, owning automation strategy and execution. • Analyze products and features to identify the best automation opportunities based on business value, risk, cost, and efficiency. • Design, develop, execute, and maintain automated test frameworks and scripts for functional, regression, integration, API, backend, and end-to-end testing. • Collaborate with developers and product teams to embed quality through using shift-left quality engineering practices. • Support testing across cloud-hosted, hybrid, and container-based environments, as applicable. • Perform API, database, backend, and system integration validation as needed. • Integrate automated tests into CI/CD pipelines and support quality gates for build and release readiness. • Investigate defects, clear document findings, support root-cause analysis, and validate fixes. • Use AI-assisted tools to improve test design, automation development, test data preparation, defect analysis, and regression optimization. • Research emerging tools, frameworks, and quality engineering practices to recommend practical improvements. • Maintain reusable, reliable, and scalable test assets, documentation, and quality metrics. • Promote continuous improvement by identifying process gaps, reducing repetitive manual effort, and recommending effective solutions.

QA Automation Engineer Location: Remote - US Hours Engagement: Full-Time About the Role Pavago is hiring on behalf of a fast-growing, product-focused technology company that is strengthening its automation infrastructure. They are redefining quality assurance through cutting-edge AI technology. They leverage the power of intelligent automation to ensure unparalleled reliability and performance in our software products. Their mission is to build a smart and resilient testing environment, allowing our clients to focus on innovation and growth. They are looking for a senior-level automation engineer who takes ownership of test systems, framework stability, and regression coverage. This is an automation-first role working directly with frontend and backend engineers. This is not a manual QA position. It is a hands-on engineering role focused on Playwright and TypeScript. Key Responsibilities - Develop and maintain E2E tests using Playwright (TypeScript) - Expand automation coverage across critical product workflows - Identify and eliminate flaky tests - Improve test suite stability and execution performance - Ensure seamless integration with CI/CD pipelines - Manage test data and maintain reliable test environments - Collaborate directly with engineers on new feature releases - Utilize AI tools to support exploratory testing and uncover edge cases Required Experience - Strong proficiency in TypeScript - Hands-on experience with Playwright (or strong Cypress background with readiness to transition) - Proven experience building and maintaining E2E automation frameworks - Solid understanding of: - DOM interaction - Network requests - Asynchronous behavior - Diagnosing flaky tests - Experience integrating automation into CI/CD environments Preferred Experience - Experience setting up E2E test infrastructure from scratch - Test data management strategies - Experience testing B2B SaaS platforms - Multi-tenant systems and role-based access testing - Familiarity with AI-assisted testing workflows Soft Skills - Strong ownership mindset - Clear and professional communication - Problem-solving approach to automation instability - Comfortable operating in a low-management environment - Growth-oriented and adaptable Interview Process - Initial Screening Call (Pavago) Qualification, experience validation, and role alignment. - Technical Assessment / Automation Review Practical discussion or exercise focused on Playwright, TypeScript, and framework design. - Client Technical Interview Deep dive into automation architecture, CI/CD integration, and problem-solving approach. - Final Interview (Culture & Ownership Fit) Discussion around autonomy, collaboration style, and long-term fit. #LI-AG1

This is a remote position. We are supporting a leading financial services organization on a large-scale Contact Centre transformation initiative, with a focus on Amazon Connect and IVR modernization. Reporting to the QA Manager, this role will is responsible for ensuring the reliability, performance, and accuracy of IVR workflows, call routing logic, and contact centre applications through a mix of manual and automated testing. Employment Type: 6-month contract (extension possible) Location: Toronto, ON - Remote What You'll Do: - Design, develop, and execute test strategies and test cases for IVR and contact centre applications. - Perform end-to-end testing of call flows, routing logic, and customer journeys within Amazon Connect. - Build and maintain automation frameworks for API, backend, and IVR testing. - Validate integrations between Amazon Connect and downstream systems (CRM, APIs, databases). - Conduct functional, regression, and integration testing across contact centre platforms. - Analyze call logs, system behavior, and test results to identify defects and root causes. - Collaborate with developers, product owners, and business stakeholders to ensure quality delivery. - Support release cycles, including test planning, execution, and defect tracking. Requirements - 5+ years of experience in QA / Quality Engineering, with a focus on test automation. - Hands-on experience in IVR / Contact Centre testing for Amazon Connect. - Hands-on experience with test automation tools (e.g., Selenium, API testing tools). - Experience testing APIs and integrations (REST, JSON, Postman, etc.). - Solid understanding of call flows, routing logic, and IVR systems. - Experience with performance or load testing for contact centre systems. - Knowledge of CI/CD pipelines and test automation integration. - Experience working in Agile / Scrum environments. - Financial Services or regulated industry experience. ------------------------ At Talencore, we stand against racism and discriminatory practices. We stand against violence. We proudly support and partner with organizations that lift people up so everyone can succeed and thrive, and honour our candidates' experiences, perspectives and unique identity. We are committed to continuing to make diversity, equity, and inclusion part of everything we do – from how we work with our talented candidates to how we support our clients in building their diverse workforce.

This is a remote position. Finance Domain QA Lead​ We are seeking a Finance Domain QA Lead to drive quality assurance and validation efforts for finance-focused applications, data platforms, and AI-driven solutions. This role will combine deep finance domain expertise with modern QA practices to ensure accuracy, compliance, and reliability across systems built on AWS, Azure, Tableau, Power BI, and DealCloud CRM. This individual will serve as the subject matter expert (SME) for financial data validation, ensuring that AI models, reporting outputs, and system integrations align with real-world financial processes and business rules. Key Responsibilities - Lead QA strategy and execution for finance-related applications, data pipelines, and AI-driven solutions - Act as the finance domain expert, validating outputs across areas such as: - Financial reporting - Investment data and portfolio analytics - Revenue, P&L, and forecasting models - Validate data accuracy and integrity across ETL/ELT pipelines and reporting tools (Tableau, Power BI) - Ensure alignment between system outputs and financial business rules, calculations, and controls - Oversee functional, regression, and integration testing across cloud platforms (AWS, Azure) - Validate integrations with DealCloud CRM and other financial data sources - Define and implement test cases and validation frameworks specific to finance workflows - Collaborate with data engineers, AI teams, and business stakeholders to ensure financial accuracy in AI models and analytics - Identify and mitigate risks related to data discrepancies, calculation errors, and compliance gaps - Support UAT efforts and work closely with business users for validation and sign-off - Mentor QA team members on finance-specific validation practices Requirements Required Qualifications - 7+ years of experience in QA, Testing, or Quality Engineering, with a strong focus on finance-related systems - Strong domain expertise in finance, such as: - Investment management - Financial reporting and analytics - Revenue cycle, accounting, or portfolio management - Experience validating financial data, calculations, and reporting outputs - Strong experience with SQL and data validation techniques - Experience testing data pipelines, ETL/ELT processes, and data platforms - Familiarity with cloud environments (AWS and/or Azure) - Experience with BI/reporting tools such as Tableau and Power BI - Experience leading QA efforts or mentoring team members Key Traits for Success - Strong attention to detail with a focus on financial accuracy and integrity - Ability to bridge business (finance) and technical (QA/data) teams - Analytical mindset with a proactive approach to identifying discrepancies - Leadership skills with the ability to guide QA efforts and influence stakeholders - Comfortable working in a fast-paced, AI-driven environment