Senior QA Engineer - Software

ABOUT TRUELOGIC At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals. Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference. By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future. OUR CLIENT A leader in data driven insights and strategic consultation to the global entertainment and technology industries. JOB SUMMARY We’re looking for a Senior QA Engineer who understands that quality starts with deeply understanding of the product, the user, the data, and the real-world context in which our solutions are used. As a market research company, we transform data into clear, trustworthy insights for clients. That means this role must understand how data moves from source to transformation to final presentation, and how accuracy, freshness, and clarity impact client trust and decision- making. This is a senior role responsible for driving quality across the full delivery lifecycle through shift- left quality practices, strong product understanding, scalable automation, data validation, and AI- enabled workflows. The first question we want our QA engineers to ask is: can AI do this for us with high quality? A major part of this role is identifying manual, repeatable work and replacing it with automation, AI-assisted workflows, or agents wherever practical. RESPONSIBILITIES - Build a deep understanding of our products, users, workflows, data flows, and client needs - Drive quality outcomes from an end-user, client-impact, and data-integrity perspective - Apply shift-left quality practices by engaging early with Engineering, Product, Data, and UX to identify risks, clarify requirements, improve testability, and shape validation strategy before implementation - Define quality expectations, validation approaches, and release readiness signals across the delivery lifecycle - Validate data across the full lifecycle, from source systems through transformation to final reporting and visualization layers - Ensure data is correct, complete, fresh, and aligned with business expectations - Build and maintain scalable automated testing using Playwright, GitHub, GitHub Actions, and TestRail - Contribute to UI, API, data, and system-level validation strategies - Use ChatGPT, Claude Code, and similar tools throughout the QA lifecycle to improve test design, accelerate automation, and reduce repeatable manual work - Identify opportunities to replace manual, repeatable QA tasks with automation, AI-assisted workflows, or agents - Apply risk-based thinking to triage issues, guide release decisions, and improve confidence in quality signals - Mentor others on shift-left quality assurance, automation, data validation, and AI-enabled QA practices QUALIFICATIONS AND JOB REQUIREMENTS - 6+ years of experience in software QA or quality engineering - Strong hands-on experience with Playwright or similar modern automation frameworks - Experience with GitHub, GitHub Actions, and TestRail or similar tools - Strong experience with shift-left quality practices, including early engagement in - requirements, design, and validation planning - Strong experience with data validation, including validating data from source through transformation to final reporting or visualization layers - Experience verifying data correctness, completeness, freshness, and business-