Staff Quality Engineer Remote

Joblet-AI; Dubai; Remote; AED 661,000 - 918,000; Full time

Benefits offered by this job

Equity compensation

Performance-based bonuses

Remote-first environment

Health insurance

Job summary

micro1 is seeking a Staff Quality Engineer (Remote) to design and build AI-powered QA systems, enabling automated test generation, regression testing, failure analysis, and continuous test coverage. You will own the foundations that let engineers ship quickly without increasing QA headcount.

You’ll lead scalable test automation architecture across web apps, APIs, and end-to-end workflows, mentor engineers, and raise quality standards across the org.

Qualifications

• Staff-level expertise in Quality Engineering and test automation architecture.
• Hands-on programming and production-grade automation framework experience.
• Experience automating web apps, APIs, end-to-end workflows.
• Familiarity with AI-assisted testing and agentic QA workflows.

Responsibilities

• Build AI-powered QA workflows for test generation and regression testing.
• Own test automation architecture for web apps, APIs, and end-to-end flows.
• Integrate quality checks into CI/CD and release processes.
• Develop systems for regression detection and failure triage.
• Improve testing intelligence by targeting coverage gaps.
• Mentor engineers and raise engineering quality standards.

Skills

Quality Engineering

SDET

Test Automation

CI/CD

Tools

Playwright

Cypress

Selenium

pytest

Job description

Job Description:

• Role Title: Staff Quality Engineer (Remote)
• Role 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

1. Build agentic QA systems: Design and implement AI-powered workflows for test generation, automated regression testing, failure analysis, and intelligent bug triage.
2. Own test automation architecture: Build scalable, maintainable automation frameworks covering web applications, APIs, integrations, and critical end-to-end workflows.
3. Make quality continuous: Integrate automated quality checks deeply into development workflows, CI/CD pipelines, and release processes.
4. Automate regression and triage: Develop systems that detect regressions, identify likely root causes, classify failures, and reduce the manual effort required to investigate issues.
5. Improve testing intelligence: Leverage AI agents to identify coverage gaps, generate meaningful test scenarios, and prioritize testing based on product changes and risk.
6. Design QA for scale: Build workflows that support growing product complexity and engineering velocity without requiring proportional increases in QA staffing.
7. Establish quality observability: Create clear visibility into test reliability, regression trends, release readiness, and overall product quality.
8. 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

1. Staff-level engineering expertise with deep experience in Quality Engineering, Software Development in Test (SDET), or Test Automation Architecture.
2. Strong hands-on programming skills and experience building production-grade test automation frameworks.
3. Extensive experience automating web applications, APIs, and complex end-to-end workflows.
4. Expertise with modern testing frameworks such as Playwright, Cypress, Selenium, pytest, or equivalent technologies.
5. Strong understanding of CI/CD, integration testing, contract testing, regression strategies, and test infrastructure.
6. Proven experience designing scalable testing systems rather than exclusively writing or maintaining individual test cases.
7. 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.
8. Strong systems thinking, including the ability to identify bottlenecks and design automation that removes repetitive QA work.
9. Experience establishing engineering quality standards and mentoring developers or QA engineers.
10. Ability to independently own quality engineering architecture while remaining deeply hands-on.

Nice to have

1. You’ve built AI-powered testing systems or agentic QA workflows used in real development environments.
2. You’ve significantly reduced manual regression testing through intelligent automation.
3. You’ve designed testing infrastructure that supports rapid product iteration with a small engineering team.
4. You’ve worked on testing AI-powered products, including nondeterministic behaviors, model evaluations, or agentic workflows.
5. You think about quality as an engineering platform rather than a separate phase of software delivery.
6. 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. micro1 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.

micro1 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 [e-mail].

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.

What You’ll Do

1. Build agentic QA systems: Design and implement AI-powered workflows for test generation, automated regression testing, failure analysis, and intelligent bug triage.
2. Own test automation architecture: Build scalable, maintainable automation frameworks covering web applications, APIs, integrations, and critical end-to-end workflows.
3. Make quality continuous: Integrate automated quality checks deeply into development workflows, CI/CD pipelines, and release processes.
4. Automate regression and triage: Develop systems that detect regressions, identify likely root causes, classify failures, and reduce the manual effort required to investigate issues.
5. Improve testing intelligence: Leverage AI agents to identify coverage gaps, generate meaningful test scenarios, and prioritize testing based on product changes and risk.
6. Design QA for scale: Build workflows that support growing product complexity and engineering velocity without requiring proportional increases in QA staffing.