Live opening · Posted 1 day ago
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About the role
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Company Description
TabLogs is a cloud-based platform that replaces traditional industry software by enabling effortless data collection, insightful analysis, and professional reporting for geotechnical and environmental engineering. Founded by a geotechnical engineer, the product was designed to bridge the gap between onsite data collection and report-ready borehole logs, site plans, and sample registers. The platform removes common bottlenecks in geotechnical investigations by generating finished graphical logs quickly, eliminating office-based data entry and accelerating delivery to clients. TabLogs is now a trusted start-to-end solution used by more than 10,000 engineers in over 20 countries, offering flexible tools to log data, create customized reports, and manage subsurface data in any needed style or format. For more details, visit our website at www.tablogs.com
Role Description
This is a full-time, fully remote Jr Quality Assurance Engineer role. The QA Engineer will design, document, and execute test cases to ensure the reliability and performance of TabLogs’ cloud-based software platform. Daily responsibilities include performing manual and API testing of new features and enhancements, identifying and documenting defects, collaborating with developers and product teams to clarify requirements and resolve issues, and contributing to continuous improvement of testing processes and standards. The role will also involve creating test plans for releases, validating bug fixes, participating in regression testing, and helping maintain high-quality user experiences for engineers using TabLogs worldwide.
Qualifications
1–3 years of hands-on experience as a Quality Assurance Engineer or in a similar software testing role.
Strong foundation in Quality Assurance practices, including test planning, test execution, and creating/maintaining detailed test cases.
Proficiency in technical API testing to ensure backend reliability and data integrity.
Familiarity/experience working within an AI environment setup (e.g., leveraging AI tools to optimize testing workflows, test generation, or analysis).
Nice to have: Knowledge or experience in test automation.
Familiarity with defect tracking tools and collaboration platforms (e.g., Shortcut).
Strong understanding of geotechnical or environmental engineering workflows is an advantage.
Strong analytical, problem-solving, and documentation skills with attention to detail.
Comfortable working independently in a remote, cross-functional team environment with strong asynchronous communication skills.
Work arrangement
Yes
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