# Senior Quality Engineer

Remote from[USA](https://jobicy.com/job-region/usa.md), [Canada](https://jobicy.com/job-region/canada.md) +1 more, [LATAM](https://jobicy.com/job-region/latam.md)Salary, yearly, USD 45,000                             - 65,000Department  [Software Engineering](https://jobicy.com/categories/engineering.md) Employment type Full Time, Job posted23 Jun 2026Apply before23 Jul 2026Views / Applies 717 / 32 [About company](https://jobicy.com/company/lawnstarter.md)

* Share About [LawnStarter](https://jobicy.com/company/lawnstarter.md)

LawnStarter is a marketplace for lawn maintenance and outdoor services

[Internet](https://jobicy.com/company-category/internet.md)
*  2013

Actively Hiring  Verified job posting This job post has been [manually reviewed](https://jobicy.com/tools/help-center/employee/how-does-jobicy-verify-the-legitimacy-of-remote-job-listings.md) for authenticity and compliance.

###  AI Summary

LawnStarter, a leading on-demand marketplace for lawn care, seeks a Senior Quality Engineer to proactively shape quality processes, own automation strategy using Cypress, and collaborate cross-functionally. The role involves expanding test coverage, improving bug triage, and leveraging AI tools to enhance quality operations. Success includes maintaining strong automation, streamlining bug cycles, and implementing process improvements. This position offers influence across product, design, and data teams in a fast-growing startup environment.

### Role DNA

Job Complexity Easy Hard Pace & Pressure Relaxed Fast-paced Autonomy Level Guided Full Ownership Communication Load Independent Highly Collaborative

AI Insight The role requires strategic automation ownership and cross-functional influence, but the specific technical requirements (Cypress, AI tooling) are within reach for an experienced engineer, making it moderately challenging.

### Salary Analysis

Median  Below Market  USD55,000US Market USD80k – 130k 0 USD143k      AI Insight The offered salary of $45,000-$65,000 is significantly below the US market median of ~$105,000 for a Senior Quality Engineer. While the role offers strategic responsibility and growth potential, the compensation may need adjustment to attract top talent.

### Core Skills Required

[Quality Engineering](https://jobicy.com/jobs?search_keywords=Quality+Engineering.md) [Cypress](https://jobicy.com/jobs?search_keywords=Cypress.md) [Automation Strategy](https://jobicy.com/jobs?search_keywords=Automation+Strategy.md) [Cross-functional Collaboration](https://jobicy.com/jobs?search_keywords=Crossfunctional+Collaboration.md) [Bug Triage](https://jobicy.com/jobs?search_keywords=Bug+Triage.md) [AI Tools](https://jobicy.com/jobs?search_keywords=AI+Tools.md) [Process Improvement](https://jobicy.com/jobs?search_keywords=Process+Improvement.md) [PHP/Laravel](https://jobicy.com/jobs?search_keywords=PHPLaravel.md) [React/React Native](https://jobicy.com/jobs?search_keywords=ReactReact+Native.md) [Exploratory Testing](https://jobicy.com/jobs?search_keywords=Exploratory+Testing.md)

### Cover Letter Sample

Dear Hiring Manager,

I am excited to apply for the Senior Quality Engineer position at LawnStarter. With over 5 years of experience in quality engineering and a passion for building proactive testing strategies, I am drawn to the opportunity to shape automation coverage and partner cross-functionally to drive quality improvements.

In my previous role, I led the transition from manual to automated testing using Cypress, reducing regression cycles by 70% and establishing a robust E2E suite. I also implemented AI-driven test gap analysis to identify coverage blind spots, aligning perfectly with LawnStarter's AI-native engineering culture.

I thrive in collaborative environments where I can influence product decisions early and own the full bug lifecycle. LawnStarter's mission to scale home services resonates with me, and I am eager to contribute to a platform that values quality as a shared responsibility.

Thank you for considering my application. I look forward to discussing how I can help raise the quality ceiling for your engineering team.

Sincerely,
[Your Name]

Copy

### Sample Interview Questions

Describe a time you identified a gap in your team's quality process and implemented a solution. What was the impact?At my previous job, I noticed our bug triage process was slow, with tickets often lingering for weeks. I proposed a streamlined triage system using a shared dashboard and weekly triage meetings. This reduced average resolution time by 40% and improved stakeholder visibility.How would you approach expanding our Cypress E2E test coverage to new service verticals while maintaining existing tests?I would start by prioritizing test coverage based on risk and business impact, using a risk-based testing matrix. I'd also advocate for a modular test design to reduce maintenance overhead, and integrate coverage metrics into CI to ensure new features are automatically reviewed for test inclusion.How do you stay updated on AI tools for quality engineering, and can you give an example of how you've used one to improve efficiency?I regularly follow QA communities and experiment with tools like Testim and Mabl. Recently, I used a generative AI tool to auto-generate test data sets, which saved 15 hours per sprint and uncovered edge cases I hadn't considered.How would you handle a situation where a product manager wants to release a feature without adequate testing due to time pressure?I would first understand the business urgency and then propose a risk-based approach, identifying critical test scenarios that must pass. I'd suggest a phased release with canary testing or feature flags to limit impact, while scheduling full regression for the next sprint.What strategies do you use to ensure effective collaboration with developers, designers, and data teams to catch issues early?I participate in early requirement reviews and design discussions to ask probing questions about edge cases. I also set up 'quality checkpoints' during development, such as test plan reviews and pair testing sessions, to align everyone on expectations.

### Senior Quality Engineer

About LawnStarter

LawnStarter is the nation’s leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We’re expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Engineering at LawnStarter

We’ve spent the last two years rebuilding the platform from the ground up: new customer app, new Pro onboarding, job distribution engine, and data infrastructure. The foundation is solid. Now we’re moving into expanded service verticals, dynamic pricing, and AI-powered features at scale. Quality needs to keep up.

Our stack is PHP (Laravel) and React/React Native, with Cypress as our primary test framework. We actively use Claude Code as part of our engineering workflow, not as an experiment, but as a core part of how we work.

The Role

As we scale into new service verticals and grow the engineering team, quality can’t be reactive. This role exists to make quality proactive: owning the automation coverage, shaping the bug process, and partnering closely with Product, Design, and the Data team to catch problems before they reach customers.

You’ll report to the Engineering Manager and be embedded across the engineering organization. This is hands-on and strategic, helping raise the quality ceiling for the whole team.

What makes this role different:

* Cross-functional influence: You work directly with engineers, PMs, Designers, and the Data team to surface risks early, understand requirements deeply, and propose better solutions. You may be embedded in one or two delivery teams.
* Automation ownership: You own the strategy for building and expanding our automated test coverage, not just executing test cases someone else wrote.
* Process shaper: You’ll identify gaps in our quality process and have the authority to fix them, not just flag them.

What You’ll Own

* Automated test coverage: Design and grow our E2E and integration test suite using Cypress. Set the strategy, prioritize coverage gaps, and raise the floor across the platform.
* Bug process: Own the full lifecycle from triage to production fix. Keep it moving, keep stakeholders informed, and make sure nothing falls through the cracks.
* Cross-functional quality partnership: Collaborate with PMs, Designers, and the Data team to review requirements, raise risks early, and define what “done” actually means.
* Process improvement: Identify weaknesses in how we deliver software and propose solutions. Not just document them.
* Exploratory testing: Test new features and existing flows on web and mobile across devices, catching what automation misses.

Problems to Solve

Keeping automation coverage sharp as the product evolves Our E2E coverage is solid. The challenge is staying ahead: bringing new ideas, exploring different types of coverage, and finding smarter ways to automate different aspects of the application as the product grows and new service verticals come online.

Exploring new tools and leveraging AI to improve quality operations AI is changing how we build software, and it’s changing how we can test it too. There’s real opportunity here to use AI tools to increase output quality, cut repetitive work, and discover coverage gaps we’d otherwise miss. We want someone who actively explores that space, not someone who waits to be told what to use.

What Success Looks Like (Year 1)

* Automation coverage stays strong: New features ship with automated tests as a baseline, and coverage strategies evolve with the product.
* Bug process runs smoothly: Triage to fix cycle is predictable and stakeholders know where things stand without having to ask.
* Deep business knowledge: You understand how the marketplace works well enough to anticipate edge cases on your own.
* Quality process improvement shipped: At least one meaningful improvement to how we deliver quality is in place and being used by the team.

## Requirements

Who You Are

AI-native. You use AI tools like Claude Code to write, maintain, and extend test code, not as a novelty, but as a standard part of how you work. You’re comfortable with browser MCPs, agent workflows, and building scripts that automate the boring parts of QA. This is unlikely to be a good fit if you’re skeptical of AI in the engineering workflow.

Automation-first. Your default when you find a problem is to ask how to prevent it automatically. You build test infrastructure that outlasts any individual test case. This is unlikely to be a good fit if your strength is manual testing and automation is something you tolerate rather than drive.

Customer-obsessed. You think like a user. When you’re testing a flow, you’re asking whether it actually works for a real customer, not just whether it matches the spec. This is unlikely to be a good fit if you treat quality as a checkbox rather than a standard.

Adaptable. You don’t get attached to a single tool, stack, or process. We’re in a period of rapid evolution in how software gets built and tested, especially with AI, and you lean into that rather than resist it. This is unlikely to be a good fit if you thrive only in stable, well-defined tooling environments.

Collaborative and direct. You work across Product, Design, Engineering, and Operations. You surface risks early, speak plainly about what you find, and push back when something isn’t ready to ship. This is unlikely to be a good fit if you prefer to work in isolation or soften feedback to avoid friction.

Technically solid. You’re comfortable reading and writing code. You understand front and backend web services well enough to test them properly, write meaningful SQL queries, and debug issues across the stack. This is unlikely to be a good fit if your technical depth is limited to a single layer or framework.

This Role Is NOT

* A manual-testing role: Most of your testing work should be building automation, not executing test scripts by hand.
* A ticket-executor role: You’re expected to shape what gets worked on and how, not just process a backlog.
* A single-tool role: We use Cypress today, but we adapt. If you’re only comfortable in one framework or one part of the stack, this will be limiting.
* A role for someone who avoids ambiguity: The business is changing fast. New verticals, new flows, new edge cases. You need to be comfortable moving before everything is defined.
* A back-of-the-line role: Quality is a first-class concern here. You’re expected to have opinions and influence the process upstream, not just verify what’s already been built.

## Benefits

### Compensation & Benefits

* Base salary: $45-$65k
* Equity: We want you invested in the quality and long-term health of the platform you’re helping build.
* Fully remote: Work from anywhere in the Americas. Deep focus and async collaboration are the norm here.
* Unlimited PTO: We focus on results. Take what you need.

LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.

Show more

[Apply now >](https://jobicy.com/jobs/147511-senior-quality-engineer.md)

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