Software Quality Assurance Engineer (Manual)

Sybilla Technologies designs, builds, and operates robotic optical observatories for monitoring objects in space. They specialize in end-to-end systems and software for automated data acquisition, analysis, and scheduling across networks of sensors. Their work includes Space Situational Awareness, Space Surveillance & Tracking, Space Traffic Management, as well as stellar and planetary research, education, and commercial on-demand observations.

• Minimum 3 years of experience in manual software testing.
• Experience working in a startup or similarly fast-growing environment.
• Solid knowledge of software testing methodologies and test design techniques.
• Hands-on experience testing REST APIs (Postman, Bruno, or similar tools).
• Understanding HTTP methods, status codes, and request/response structures.
• Practical SQL skills (PostgreSQL preferred).
• Proficiency with browser DevTools.
• Experience with Azure Test Plans or equivalent test management tools.
• Strong defect reporting and tracking skills.
• Professional approach, independence, initiative, and strong commitment to quality.
• Good command of English.

Huge advantage:

• Experience testing non-LLM machine learning models.
• Hands-on experience with running inference on a local machine.

Nice to have:

• Knowledge of SDLC and Agile methodologies.
• Higher education (Bachelor’s degree or higher).
• Basic knowledge of security testing (e.g. Burp Suite or similar tools).
• Basic scripting skills (Python, C#, or PowerShell).

• Own the functional quality of assigned features and releases.
• Validate business requirements through structured manual testing and clear feedback.
• Ensure delivered functionality meets acceptance criteria and user expectations.
• Design, maintain, and execute manual test cases and test scenarios using Azure Test Plans.
• Identify, document, and track defects, ensuring high-quality and reproducible bug reports.
• Validate data integrity using PostgreSQL queries.
• Verify end-to-end data flows across system components.
• Maintain test documentation, including test plans and test cases.
• Contribute to the continuous improvement of QA processes and practices.
• (optional / advanced ML-focused) QA validation of non‑LLM ML models.
• (optional / advanced ML-focused) Run and analyze local inference.
• (optional / advanced ML-focused) Support ML test strategy (data quality, output consistency, drift).