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# Quality Assurance Engineer

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/assetwatch.md)Share1 Sep 2026Published49Listing views2Application actions1 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryAssetWatch is hiring a mid-level Quality Assurance Engineer to validate web and mobile applications supporting predictive maintenance for manufacturers. The role combines hands-on manual, exploratory, regression, API, database, and end-to-end automated testing. The engineer will build and maintain TypeScript and Playwright test suites, connect them to CI/CD pipelines, and use AI-assisted coding tools to improve test development and failure triage. Success requires close collaboration with development teams, disciplined defect management in Jira and Zephyr, and strong judgment when reviewing AI-generated test code. This is a remote-first role for candidates across the United States and Ontario, Canada, with required core-hour collaboration.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

4/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

4/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI insightThis is a technically demanding QA role because it requires both deep manual-testing discipline and practical ownership of TypeScript/Playwright automation, CI/CD integration, API testing, SQL validation, and web/mobile coverage. The startup environment, emphasis on agentic workflows, and need to improve automation reliability increase the expected pace and independent problem-solving.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate$111,500US market range$95k–$135k0$149k

AI insightThe disclosed US base salary is $99,000–$124,000 USD yearly, with a midpoint of $111,500. This is broadly competitive for a QA Engineer with 3+ years of manual and Playwright automation experience in the US market; the estimated US market range is $95,000–$135,000 yearly, excluding equity, bonuses, and benefits.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Manual Testing](https://jobicy.com/jobs?search_keywords=Manual%20Testing.md)[Test Automation](https://jobicy.com/jobs?search_keywords=Test%20Automation.md)[TypeScript](https://jobicy.com/jobs?search_keywords=TypeScript.md)[Playwright](https://jobicy.com/jobs?search_keywords=Playwright.md)[End-to-End Testing](https://jobicy.com/jobs?search_keywords=End-to-End%20Testing.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[API Testing](https://jobicy.com/jobs?search_keywords=API%20Testing.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Jira](https://jobicy.com/jobs?search_keywords=Jira.md)[Zephyr](https://jobicy.com/jobs?search_keywords=Zephyr.md)

Sample interview questionsHow have you translated manual test cases into maintainable Playwright automation?I first prioritize stable, repeatable, high-value regression scenarios and confirm that acceptance criteria are testable. I structure Playwright tests with reusable page or component abstractions, resilient locators, clear assertions, and test data controls. I then run the suite in CI and monitor failures to improve reliability rather than simply adding more tests.

How would you investigate a flaky end-to-end test in a CI pipeline?

I would reproduce the failure locally and in CI where possible, review traces, screenshots, videos, logs, and timing behavior, and determine whether the root cause is the application, environment, data, or test implementation. I would replace brittle waits and selectors with condition-based synchronization and stable locators, then validate the fix through repeated runs. If the issue reflects a product defect, I would document it clearly and work with engineering on remediation.

What is your approach to API and database testing alongside UI automation?

I test APIs directly to validate status codes, schemas, authorization, error handling, and important business rules before relying on UI coverage. For database validation, I use SQL to verify that application actions produce correct persisted data while respecting data-access and privacy practices. This layered approach provides faster feedback and reduces dependence on slow end-to-end tests.

How would you use AI coding tools in QA automation while preserving quality?

I would use AI tools to accelerate scaffolding, generate candidate test cases, summarize failures, and suggest refactors, but I would treat all output as untrusted draft code. I would verify selectors, assertions, test intent, security implications, and compatibility with project conventions before committing anything. The goal is faster delivery with engineering judgment, not automated acceptance of generated tests.

How do you communicate quality risk when a release deadline is approaching?

I communicate the risk early using clear evidence: affected functionality, severity, reproducibility, test coverage, user impact, and recommended options. I distinguish release-blocking defects from known acceptable risks and propose mitigation such as a feature flag, targeted regression coverage, or a limited rollout. This allows product and engineering stakeholders to make an informed release decision.

AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey.

AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey.

With a bleeding edge tech stack, we have a unique opportunity to get you in at the ground floor to help our agile and efficient team continue building out our cloud application. If you love the startup life and the sense of urgency where the tools you build materially impact the organization’s growth, let us talk.

What You’ll Do:

* Conduct thorough manual testing of new features, enhancements, and bug fixes across our web and mobile applications to ensure functionality, reliability, scalability, and usability.

* Design and execute test plans, test cases, and exploratory testing sessions, and perform regression testing using a combination of manual and automated approaches.

* Develop, maintain, and execute automated test suites using TypeScript and Playwright, translating manual test cases into reliable end-to-end automation and expanding coverage across the application.

* Leverage AI-assisted and agentic coding tools (e.g., GitHub Copilot, Claude, Cursor) to accelerate test authoring, maintenance, and debugging—generating and refining Playwright tests, triaging failures, and improving coverage.

* Build and refine agentic testing workflows, using prompts and AI agents to auto-generate test scaffolding, self-heal flaky selectors, and summarize test results, while applying sound engineering judgment to validate AI-generated output.

* Integrate automated tests into CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins) to provide fast, reliable feedback on every build.

* Identify, document, and track software defects using Jira and Zephyr (or similar test case management, execution, and bug tracking tools).

* Collaborate closely with cross-functional development teams to understand requirements, provide feedback on potential issues, and ensure comprehensive, timely test coverage.

* Participate in the continuous improvement of QA processes and methodologies, maintaining clear documentation for test scripts, cases, and automation, and providing regular reports on testing progress, risks, and quality metrics.

Who You Are:

* Bachelor’s degree in Computer Science, Software Engineering, or a related field.

* 3+ years of hands-on QA experience spanning both manual testing and test automation of web and mobile applications.

* Strong experience building and maintaining automated end-to-end tests with TypeScript and Playwright, including solid knowledge of browser interactions, element locators, synchronization, and exception handling.

* Experience developing or extending automation frameworks and integrating automated tests into CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins).

* Practical experience using AI-assisted and agentic coding tools (e.g., GitHub Copilot, Claude, Cursor) to write, maintain, and debug code and tests, with the judgment to review and validate AI-generated output.

* Experience with API testing (Postman, RestAssured, or similar) and backend database testing.

* Strong understanding of SQL and experience with SQL backend testing.

* Familiarity with React for web application testing and Flutter for mobile application testing.

* Proficiency with Jira for issue tracking and project management, and test case management tools such as Zephyr.

* Excellent problem-solving and analytical skills, effective communication and collaboration, and a meticulous attention to detail.

What We Offer:

* Competitive compensation package including share options.

* Flexible work schedule

* Full benefits and 401K

* Opportunity to make a real impact every day

* Opportunity to work with an exciting and growing team

* Unlimited PTO

We have a distributed team that works remotely across locations in the United States. We are open to candidates from most states, but collaboration within core working hours is required.

The base salary range for this full-time position is posted below, plus equity and benefits. Variable pay, bonuses, and other cash compensation will be discussed throughout the interview process.

The salary range was determined by role, level, and location. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range applicable to your location during the hiring process.

AssetWatch Salary Range (US)

$99,000—$124,000 USD

What We Offer:
AssetWatch is a remote-first company that puts people at the center of everything we do. We want our team members to thrive – that’s why we offer a range of benefits and perks designed to support your well-being, growth, and work-life balance.

* Competitive compensation package including stock options
* Flexible work schedule
* Comprehensive benefits including retirement plan match
* Opportunity to make a real impact every day
* Work with a dynamic and growing team
* Unlimited PTO

We have a distributed team that works remotely across locations in the United States and Ontario, Canada. Collaboration within core working hours is required.

Show more

[Apply now >](https://jobicy.com/jobs/152329-quality-assurance-engineer-2.md)

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