Software Engineer in Test (SDET) Specialist I - Brazil

Housecall Pro; United States; Remote; USD 65,000 - 78,000; Full time

Benefits offered by this job

Paid holidays and flexible time off

MacBook setup + workspace stipend $500

Equity in startup

Job summary

Housecall Pro is seeking a Software Engineer in Test (SDET) Specialist I to enhance quality through manual and automated testing, partnering with development teams to reproduce bugs and design robust test plans. You’ll mentor junior engineers and help guide best practices to improve product reliability.

You will lead AI adoption across the squad, define standards for the safe use of AI in test pipelines, and design agentic testing workflows using MCP technologies (Maestro MCP, Playwright MCP).

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

Responsibilities

• 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 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

Skills

AI testing strategy

QA engineering

Mentoring engineers

Communication skills

Education

Bachelor's degree in Computer Science/Engineering or equivalent

Tools

Playwright

Cypress

TestNG

JUnit

GitLab

CircleCI

JIRA

TestRail

Maestro MCP

Playwright MCP

Job description

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 Software Engineer in Test (SDET) Specialist 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 embedding AI knowledge-sharing into team culture — coaching Senior engineers on the shift from personal AI productivity to squad-level operational impact
• A habit of building reusable AI operational assets (prompt libraries, validation checklists, triage runbooks, agentic playbooks)
• Personal resilience to learn from scratch, and successfully thrive in ambiguity
• Strong problem-solving and analytical skills
• Ability to work in a fast-paced, collaborative environment
• Excellent communication skills, both written and verbal
• High attention to detail and commitment to delivering high-quality work
• Proactive in identifying areas for improvement and suggesting solutions

Compensation starts at $6,400 USD per month.

Internally, this position is titled Staff QA Engineer I.

Founded in 2013, Housecall Pro helps home service professionals (Pros) streamline every aspect of their business. With easy-to-use tools for scheduling, dispatching, payments, and more, Housecall Pro enables Pros to save time, grow profitably, and provide best-in-class service.

Housecall Pro’s brand portfolio includes Business Coaching by Housecall Pro, a business coaching solution for home services businesses. Our brands are united by a singular mission to champion our Pros to success.

We support more than 50,000 businesses and have over 2,000 ambitious, mission-driven, genuinely fun-loving teammates across the globe. If you want to do work that impacts real people, supported by a team that will invest in you every step of the way, we’d love to hear from you.

Housecall Pro celebrates diversity and we are committed to creating an inclusive environment. We are an equal opportunity employer and do not discriminate on the basis of gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. #LI-Remote

Use of Artificial Intelligence in Hiring and Engagement Processes: we may use artificial intelligence (AI)-powered tools to support the review and evaluation of employment and independent contractor applications, including screening and qualification assessments. All final hiring and engagement decisions are made by human representatives, not AI tools.