Senior QA Engineer – Software

Remote from
LATAM flag
LATAM
Annual salary
Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department
QA & Testing
Employment type
Full Time,
Job posted
Apply before
12 Jul 2026
Experience level
Senior
Views / Applies
17 / 4

About Truelogic

Accelerate Your Digital Transformation

Actively Hiring
Verified job posting
This job post has been manually reviewed for authenticity and compliance.

AI Summary

This Senior QA Engineer role focuses on driving quality across the full delivery lifecycle, with a strong emphasis on data validation, automation, and AI-enabled workflows. You will build a deep understanding of products, users, and data flows to ensure accuracy and client trust. The position requires shift-left practices, mentoring, and replacing manual tasks with automation and AI. It is a senior role within a nearshore staff augmentation company serving the entertainment and technology industries. Ideal for experienced QA professionals with expertise in Playwright, data validation, and AI tools.

Role DNA

Job Complexity
Easy Hard
Pace & Pressure
Relaxed Fast-paced
Autonomy Level
Guided Full Ownership
Communication Load
Independent Highly Collaborative
AI Insight Requires 6+ years of experience, strong automation and data validation skills, shift-left practices, and AI tool proficiency, making it challenging but not extremely niche.

Salary Analysis

Median Highly Competitive
$125,000
US Market
$90k – 160k
0 $176k
AI Insight The salary is not specified, but for a Senior QA Engineer with 6+ years experience, typical US market range is $90K-$160K. This role's emphasis on data validation and AI-enabled workflows may command higher compensation.

Key Skills

Quality Assurance Automation Testing Playwright Data Validation Shift-Left Testing AI-Enabled QA GitHub Actions TestRail Mentoring API Testing

Dear Hiring Manager,

I am excited to apply for the Senior QA Engineer position at Truelogic. With over 6 years of experience in software quality engineering, I bring a strong background in automation using Playwright, data validation across the full lifecycle, and shift-left quality practices. My recent work has focused on integrating AI tools like ChatGPT into QA workflows to enhance efficiency and accuracy.

I am particularly drawn to this role because of its emphasis on data integrity and client impact. I have successfully mentored teams on automation strategies and reduced manual testing by 40% through AI-assisted test design. I am eager to contribute to your client's data-driven insights platform and drive quality from early stages through delivery.

Thank you for considering my application. I look forward to the opportunity to discuss how my skills align with your needs.

Sincerely,
[Your Name]

Can you describe your experience with shift-left testing and how you have implemented it in previous roles?
In my previous role, I engaged with product and development teams during requirements gathering to identify testability issues and define acceptance criteria early. I introduced static analysis and unit test coverage metrics, and collaborated on design reviews to prevent defects. This reduced bug leakage by 30% and shortened test cycles.
How do you validate data accuracy and completeness across different stages of a data pipeline?
I start by understanding the data sources and business rules. I automate checks at each stage: source validation, transformation logic tests, and final output consistency. I use SQL queries to compare row counts, check for nulls, and verify aggregates. Additionally, I set up monitoring for data freshness and anomaly detection.
What experience do you have with Playwright, and how do you integrate it into a CI/CD pipeline?
I have used Playwright for end-to-end testing across multiple browsers. I write tests in TypeScript and integrate them with GitHub Actions. I configure pipelines to run specific test suites on pull requests, and trigger full regression on merges. We also use TestRail for test case management and report results back to it via API.
Can you provide an example of how you have used AI to improve QA processes?
I used ChatGPT to generate test data and edge case scenarios from user stories. For regression, we employed an AI tool to analyze test failures and categorize them. We also experimented with an AI agent to automatically update test scripts when UI changes were detected, reducing maintenance effort by 20%.
How do you balance manual exploratory testing with automation in a fast-paced environment?
I apply a risk-based approach: automate stable, high-value test cases for regression and critical paths, and focus manual effort on new features, complex scenarios, and usability testing. I advocate for early automation of acceptance tests and use session-based exploratory testing to uncover issues not covered by automation.

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-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.

Apply now!

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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