✨ AI Insights & Summary
This Senior QA Engineer role at Truelogic, supporting a data-driven insights leader in the entertainment and technology sectors, is a unique opportunity for a quality champion. You'll drive quality across the full delivery lifecycle, emphasizing 'shift-left' practices and leveraging AI tools to automate and enhance workflows. It's a chance to make a significant impact on data integrity and client trust within a dynamic, nearshore staffing environment.
About Truelogic
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we've delivered top-tier technology solutions to companies of all sizes, from startups to industry leaders, facilitating their digital transformation goals. Our team of 600+ skilled tech professionals in Latin America partners with U.S. companies on impactful projects, driving digital disruption.
By applying for this position, you take the first step towards joining a dynamic team that values your expertise and aspirations, aligning your skills with opportunities for exceptional career growth and success on transformative projects.
Our Client
A leader in data-driven insights and strategic consultation for the global entertainment and technology industries.
Job Summary
We are seeking a Senior QA Engineer who understands that quality begins with a deep comprehension of the product, users, data, and the real-world context of our solutions. As a market research company, we transform data into clear, trustworthy insights for clients. This role requires an understanding of how data flows from source to presentation and how accuracy, freshness, and clarity impact client trust and decision-making. This is a senior role responsible for driving quality throughout the delivery lifecycle via 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-rule accuracy.
- Experience working with observability or monitoring signals to assess whether systems and data are operating as expected.
- Experience across multiple testing domains, including UI, API, data validation, or platform/system testing.
- Experience improving automation reliability, reducing flaky tests, and increasing confidence in automated quality signals.
- Demonstrated use of AI tools such as ChatGPT, Claude Code, or similar tools to improve workflows and reduce manual effort.
- Strong understanding of regression strategy, defect triage, and release readiness.
- Strong communication skills, sound judgment, and a proactive approach to risk.
What We Offer
- 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
- Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
- Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
- Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
- Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
Why You’ll Like Working Here
- A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
- Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
- Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.