Truelogic

Data driven insights and strategic consultation to the global entertainment and technology industries

SeniorQAEngineer

LatAm FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior QA Engineer at Truelogic. Skills: QA, Automation, Data validation. Build deep understanding of products. Drive quality outcomes”

What You'll Achieve.

Achieve digital transformation goals; Drive digital disruption; Deliver results that make a difference; Foster exceptional career growth; Contribute to transformative projects

Industry & Context.

Data driven insights and strategic consultation to the global entertainment and technology industries
Problems you'll solve

Sound judgment; Proactive approach to risk

What They're Looking For.

Must Have

6+ years of experience in software QA or quality engineering, hands-on experience with Playwright or similar modern automation frameworks, Experience with GitHub, GitHub Actions, and TestRail or similar tools, experience with shift-left quality practices, including early engagement in requirements, design, and validation planning, 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, understanding of regression strategy, defect triage, and release readiness

Nice to Have

AI-enabled QA practices

What You'll Do.

Build deep understanding of products

Drive quality outcomes

Apply shift-left quality practices

Define quality expectations

Validate data across lifecycle

Ensure data correctness

Build scalable automated testing

Contribute to validation strategies

Identify automation opportunities

Apply risk-based thinking

How You'll Work.

Team & Collaboration

Engage early with Engineering, Product, Data, and UX; Collaborate with a multicultural team

Communication Scope

communication skills

Full Job Description

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. RESPONSIB

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