QA Engineer

We're a tech company that was first on the ground in the fight against Ubiquitous Technical Surveillance. We help our government and enterprise customers solve a big problem they sometimes don't even know they have. To become leaders in this space, we've relied heavily on curiosity, creativity, and flexibility. We iterate until we get things right and innovate to get there faster.

But enough about us. What's in it for you?

We work hard and do fun things.

Apart from a constantly growing list of fascinating challenges to solve, Ridgeline offers a solid work‑life balance, flexible remote work options, and a culture that values teamwork over competition. At Ridgeline, you will work with the most talented software developers, systems engineers, and subject‑matter experts to change how big enterprises and the U.S. Government manage their digital signatures.

We move fast, ship often, and hold ourselves to a high bar. As a QA Engineer, you will help improve our testing processes using both manual and automation techniques. You will have real opportunities to develop your skills with the Playwright automation framework, making our testing more efficient and reliable day by day.

Your core mission is straightforward: identify, document, and report issues before they reach users. You will work across web, mobile, and API layers, and your work will directly shape the quality of what we ship.

This role is built for someone who is detail oriented, communicates clearly, and is genuinely excited about learning. If you care about quality and want to grow fast, you will thrive here.

• Learn and understand system specifications thoroughly before testing begins
• Work alongside Software Test Engineers to develop test strategies and plans with an automation focus
• Assist in designing and implementing automated test cases using Playwright
• Execute manual and exploratory testing across web, mobile, and API features
• Write clear, reproducible bug reports and communicate issues directly to development teams
• Help build and maintain test logs that track and analyze testing phases over time
• Participate in troubleshooting, sprint planning, and post‑release testing
• Collaborate with teams to raise the quality bar throughout the full development cycle

• Get deep into our systems and gain a thorough understanding of testing requirements
• Shadow and contribute to active test cycles across web, mobile, and API layers
• Begin building familiarity with Playwright in a real production context

• Own test planning and execution for defined feature areas
• Contribute meaningfully to our automated test coverage using Playwright
• Document and surface a meaningful number of bugs, helping improve our release process
• Begin identifying gaps in our QA strategy and bring ideas to the table

• Active Secret Clearance at a minimum
• At least two years of QA experience or a strong track record of growing in this direction
• Ability to document and troubleshoot errors with precision
• Basic knowledge or strong willingness to learn Playwright or similar automation tools
• Familiarity with test management software like Test Rail or Zephyr, or eager to learn
• Good communication skills and comfort advocating for quality
• Organized, analytical, and genuinely curious about how things work

• Experience with automated regression testing
• Exposure to API testing tools like Postman
• Experience testing mobile apps on iOS or Android
• Basic SQL or scripting knowledge
• Examples of test cases or bug reports you have written

• We are actively exploring how AI can make our QA practice smarter and faster. Candidates who bring curiosity or experience in this space will stand out.
• Hands‑on experience using AI‑powered testing tools such as Testim, Mabl, or Applitools
• Familiarity with using AI for test data generation to improve coverage and edge case discovery
• Interest in applying machine learning for defect prediction and risk‑based testing prioritization
• Experience with or curiosity about LLM‑assisted test case authoring and documentation
• Understanding of how AI‑driven…