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Hiring now · posted 11d ago Tech Contract · Remote

Member of Technical Staff, Quality Engineering

$180,000–$250,000/yr

Yearly base salary stated in the job posting. Final pay depends on level and location.

Remote · Worldwide 1 openings Language: English Posted 24 Oct 2026

Member of Technical Staff, Quality Engineering is remote AI-training work for engineers, paying $180,000–$250,000/yr, open to applicants worldwide. Posted 24 Oct 2026, still open on 5 Nov 2026. Zekai lists it for free; the application goes to the employer's platform.

About this role

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Job Title: Member of Technical Staff, Quality Engineering

Job Type: Full-time

Location: Remote

The Role

You'll design and build an intelligent, highly automated quality engineering system where AI agents help generate tests, execute regression suites, investigate failures, and continuously improve test coverage.

You'll own the technical foundations that allow our engineering team to ship quickly and confidently without scaling QA headcount alongside product complexity.

We're looking for a Staff-level engineer with deep test automation expertise, strong software engineering fundamentals, and a track record of building systems that make quality an integrated, automated part of software development.

What You'll Do

  • Build agentic QA systems: Design and implement AI-powered workflows for test generation, automated regression testing, failure analysis, and intelligent bug triage.
  • Own test automation architecture: Build scalable, maintainable automation frameworks covering web applications, APIs, integrations, and critical end-to-end workflows.
  • Make quality continuous: Integrate automated quality checks deeply into development workflows, CI/CD pipelines, and release processes.
  • Automate regression and triage: Develop systems that detect regressions, identify likely root causes, classify failures, and reduce the manual effort required to investigate issues.
  • Improve testing intelligence: Leverage AI agents to identify coverage gaps, generate meaningful test scenarios, and prioritize testing based on product changes and risk.
  • Design QA for scale: Build workflows that support growing product complexity and engineering velocity without requiring proportional increases in QA staffing.
  • Establish quality observability: Create clear visibility into test reliability, regression trends, release readiness, and overall product quality.
  • Raise the engineering bar: Mentor engineers, establish testing standards, and drive a culture where quality is owned across the engineering organization.

What We're Looking For

  • Staff-level engineering expertise with deep experience in Quality Engineering, Software Development in Test (SDET), or Test Automation Architecture.
  • Strong hands-on programming skills and experience building production-grade test automation frameworks.
  • Extensive experience automating web applications, APIs, and complex end-to-end workflows.
  • Expertise with modern testing frameworks such as Playwright, Cypress, Selenium, pytest, or equivalent technologies.
  • Strong understanding of CI/CD, integration testing, contract testing, regression strategies, and test infrastructure.
  • Proven experience designing scalable testing systems rather than exclusively writing or maintaining individual test cases.
  • AI-native engineering habits: You already use AI coding agents extensively and have practical experience applying AI to test generation, automation, debugging, or quality workflows.
  • Strong systems thinking, including the ability to identify bottlenecks and design automation that removes repetitive QA work.
  • Experience establishing engineering quality standards and mentoring developers or QA engineers.
  • Ability to independently own quality engineering architecture while remaining deeply hands-on.

Nice to have

  • You've built AI-powered testing systems or agentic QA workflows used in real development environments.
  • You've significantly reduced manual regression testing through intelligent automation.
  • You've designed testing infrastructure that supports rapid product iteration with a small engineering team.
  • You've worked on testing AI-powered products, including nondeterministic behaviors, model evaluations, or agentic workflows.
  • You think about quality as an engineering platform rather than a separate phase of software delivery.
  • You can move comfortably between writing automation code, investigating complex failures, and designing company-wide quality systems.

Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $180,000 –$250,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. our partner provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.

our partner is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@our partner.

Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

This is a 100% remote contract role, open to applicants worldwide in the countries the employer accepts.

Test Automation EngineeringAI Agents & Agentic QA AutomationQuality Engineering Architecture & CI/CDTechnical Leadership & Quality Strategy

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