QA Engineer

Inspiration Mobility Group•Washington, DC

6d•$70,000 - $95,000•Remote

About The Position

The QA Engineer ensures the quality of products before they reach customers. Working alongside engineers throughout the build process, this person uses and evaluates AI-assisted testing tools to accelerate coverage while applying creative, exploratory judgment. The role offers opportunities to help shape the company’s evolving QA approach, including its testing strategy, CI/CD test gates, and documentation. This role is remote eligible. Inspiration Mobility has an office in Washington, DC, where in-office teams collaborate Tuesday through Thursday and work remotely Monday and Friday. The salary range is $70,000–$95,000, with bonus eligibility. The company describes itself as a fast-growing, mission-driven team working across transportation, energy, technology, and finance, and emphasizes autonomy, accountability, creativity, and learning.

Requirements

At least 3 years of experience in a Software QA role.
At least 2 years of experience writing JavaScript.
At least 3 years of hands-on automated testing experience with Playwright, another modern testing framework, or Selenium plus other relevant tooling.
Comfort working with git day to day.
Ability and interest in creative, exploratory testing and finding bugs that may not be covered by planned tests.
Curiosity about or experience using AI-assisted testing tools, and considered opinions about their strengths and limitations.
Alignment with the company’s core values, supported by examples of demonstrating those values in a career.

Nice To Haves

Experience owning part of a CI/CD or release process.
Experience with test planning or strategy.
Strong opinions on how a team’s testing approach could improve.

Responsibilities

Author and maintain automated end-to-end test suites, such as Playwright tests, in collaboration with the engineers who built each feature.
Explore AI-assisted testing tools to speed up test authoring, maintenance, and coverage analysis.
Own regression testing and provide final sign-off on release candidates before they ship.
Conduct creative, exploratory testing on every release, looking beyond expected user paths to uncover edge cases and unusual interactions.
Develop testing approaches for products and features that do not fit conventional application QA, including data products and non-deterministic features.
Help shape the QA approach as AI changes the balance between writing code and verifying it, including testing strategy, CI/CD test gates, and documentation.