Pedals Up is looking for a detail-oriented and quality-driven QA Engineer with experience in both manual and automation testing. The ideal candidate will be responsible for ensuring the quality, functionality, and reliability of web and mobile applications through comprehensive testing. You will collaborate with developers, designers, and product teams to identify issues, improve product quality, and deliver seamless user experiences.
Perform manual and automated testing of web and mobile applications.
Create, maintain, and execute test cases, test scenarios, and test plans.
Identify, document, track, and verify software defects.
Develop and maintain automated test scripts using appropriate testing frameworks.
Perform functional, regression, integration, smoke, and exploratory testing.
Conduct API testing to validate functionality, reliability, and data accuracy.
Collaborate with developers and product teams to understand requirements and acceptance criteria.
Participate in requirement reviews to identify potential quality issues early.
Execute cross-browser and cross-device compatibility testing.
Maintain test documentation and communicate testing progress and results.
Contribute to improving QA processes, test coverage, and automation efficiency.
Skills
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Experience in both manual testing and test automation.
Strong understanding of software testing methodologies and the Software Development Life Cycle (SDLC).
Ability to create and execute detailed test cases and test scenarios.
Experience with automation tools such as Selenium, Cypress, or Playwright.
Knowledge of programming or scripting languages such as Java, JavaScript, or Python.
Experience with API testing tools such as Postman.
Familiarity with bug-tracking and test management tools such as Jira.
Understanding of regression, functional, integration, and performance testing concepts.
Knowledge of SQL and database testing.
Familiarity with Agile and Scrum methodologies.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent attention to detail, communication, and collaboration skills.
Question you might have,
Answers we definitely got
Do we need clean data for this to work?
No. Most companies don’t have clean data on day one. We’ve built our process to work with messy data, CRMs, databases, APIs, even PDFs in some cases. If your data truly can’t be used at all, we’ll find out in the first 48 hours and offer a refund, not a 2-week extension.
How do you handle our IP and data security?
Everything you share stays yours. We sign an NDA before any work starts, use your data only for this engagement, and delete or return it once we’re done if you ask. Nothing you give us gets reused for another client or a case study without your sign-off.
What if the prototype doesn’t work?
Then you’ve spent two weeks and a fixed price finding that out, not two quarters and a six-figure budget. If it doesn’t hold up, we tell you plainly and you walk away with a clear answer instead of a sunk cost.
Is this AI consulting or actual development?
Development. We don’t sell strategy decks. You get a working AI prototype built on your own data, running by the end of the two weeks, not a set of recommendations for someone else to build later.
Can we extend the Quick-Start to 4 weeks instead of 2?
The two weeks is fixed on purpose, it’s what keeps the scope honest. If you need more time once the prototype proves out, that’s what the Sprint package is for: 4-6 weeks, fixed price, taking the prototype to production.
Who actually does the work?
The senior engineer who scopes your project on the first call is the one who builds it. We don’t hand off to juniors after kickoff.
Ready When You Are
Start With a Conversation, Not a Contract
Tell us what you’re building or what’s slowing you down. We’ll scope it on the first call, whether that’s a two-week AI Quick-Start or a longer build.
