Staff QA Engineer I

housecall; Brasil; Presencial; BRL 180 000 - 260 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Paid holidays

MacBook setup + $500 workspace stipend

Equity in startup

Resumo da oferta

Housecall Pro, a global team with a Brazil presence, seeks a Staff QA Engineer I to lead automated and manual testing, design robust plans, mentor juniors, and drive quality across software. You will collaborate with engineering, product, and ML teams to ensure reliability and scalable validation.

You will design AI-enhanced testing workflows, establish standards for AI in testing, and help the squad improve ROI through better defect detection and coverage.

Qualificações

• 8+ years of experience in quality assurance engineering.
• Hands-on with automated testing frameworks such as Playwright, Cypress, TestNG, or JUnit.
• Experience with CI/CD tools (GitLab, CircleCI).
• Operationalizing AI-assisted testing workflows and agentic testing.
• Experience with bug tracking and test management tools (JIRA, TestRail).

Responsabilidades

• Lead AI adoption and testing workflows across the squad.
• Define standards for safe AI use in test pipelines and validation workflows.
• Design agentic testing workflows using MCP technologies across teams.
• Evaluate emerging AI testing technologies and perform root-cause analysis.
• Collaborate with MLOps, platform, Product, and Engineering teams.
• Design advanced test strategies and machine-readable test cases.
• Improve QA methodologies, frameworks, and technical standards.
• Refine requirements with Product and Engineering to ensure coverage.
• Mentor QA and engineering professionals in advanced testing techniques.

Conhecimentos

Quality assurance

Mentoring

AI-assisted testing

Formação académica

Bachelor's degree in Computer Science or Engineering

Ferramentas

Playwright

Cypress

TestNG

JUnit

JIRA

TestRail

GitLab

CircleCI

Maestro MCP

Playwright MCP

Descrição da oferta de emprego

Why Housecall Pro?

Help us build solutions that build better lives. At Housecall Pro, we show up to work every day to make a difference for real people: the home service professionals that support America's 100 million homes. We're all about the Pro, and dedicate our days to helping them streamline operations, scale their businesses, and-ultimately-save time so they can be with their families and live well.

While our headquarters are based in Denver, Colorado, our team spans the globe, with teammates across Brazil, Poland, the Philippines, Mexico, and beyond. We care deeply about our customers and foster a culture where our company, people and Pros grow and succeed together-no matter where they’re based. Leadership is as focused on growing team members’ careers as they expect their teams to be on creating solutions for Pros.

We also offer:

• Paid holidays and flexible, take-it-as-you-need-it scheduled time off
• A culture built on innovation that values big ideas, no matter where they come from
• A MacBook set up and ready from day one, plus a $500 stipend to design your ideal workspace
• Equity in a rapidly growing startup backed by top-tier VCs

Role Overview

As a Staff QA Engineer I, you contribute to the quality assurance process by developing and executing both manual and automated tests to ensure our software meets the highest quality standards. You work closely with development teams to identify, reproduce, and document bugs, while also designing robust test plans and strategies to ensure product reliability. Your expertise in testing methodologies helps guide the team in adopting best practices, and you act as a mentor for junior engineers, helping them grow their testing skills. Our team is passionate, empathetic, hard working, and above all else focused on improving the lives of our service professionals (our Pros). Our success is their success.

What you do each day:

• Lead AI adoption and operationalization across the squad. Design AI-enhanced testing workflows, measure impact with evidence, and continuously improving quality and efficiency
• Define standards for the safe, reliable use of AI within test pipelines, regression systems, and validation workflows while measuring return on investment (ROI) through accuracy, defect detection, regression stability, coverage gains, and operational efficiency
• Design and govern agentic testing workflows using Model Context Protocol (MCP) technologies (i.e. Maestro MCP, Playwright MCP) across multiple teams
• Evaluate emerging AI and agentic testing technologies and lead root-cause analysis when workflows degrade through false positives, regression drift, unstable automation, or other quality issues
• Partner with machine learning operations (MLOps), platform, Product, and Engineering teams to establish evaluation standards, production quality baselines, and scalable validation strategies
• Design advanced test strategies, plans, and machine-readable test cases that enable AI-assisted automated test generation and strengthen coverage for new features and complex product changes
• Establish and continuously improve quality assurance methodologies, automated testing frameworks, and technical standards that influence quality practices across Engineering
• Collaborate with Product and Engineering leaders to refine requirements, identify quality risks, and ensure comprehensive test coverage throughout the software development lifecycle
• Mentor quality assurance and engineering professionals in advanced testing techniques, AI-assisted quality practices, and scalable automation approaches
• Communicate quality insights, testing outcomes, technical risks, and recommendations clearly to Engineering leaders and cross-functional stakeholders

Qualifications:

• 8+ years of experience in quality assurance engineering, with a focus on both manual and automated testing
• Proficiency in automated testing frameworks (i.e. Playwright, Cypress, TestNG, JUnit)
• Experience with continuous integration/continuous delivery tools (i.e. Gitlab, CircleCI)
• Demonstrated experience operationalizing AI-assisted and agentic testing workflows across a team, defining validation standards, safe delegation and human-in-the-loop boundaries, and tracking measurable outcomes (AI ROI)
• Hands-on experience with AI-assisted testing and MCP-based test generation/execution (Maestro MCP, Playwright MCP), with judgment about where AI output is reliable vs. where it needs tighter validation
• Experience working with bug tracking and test management tools (i.e. JIRA, TestRail)
• Bachelor's degree in Computer Science, Engineering, or equivalent work experience
• Proven experience driving team efficiency or output quality through the strategic use of AI tools and automation

What will help you succeed:

• A multi-dimensional background with a breadth of cross‑functional interests or depth of specialized mastery
• A track record of em