Middle QA Engineer Manual

Job Description

• Spin.AI is a global SaaS cybersecurity company
• that protects mission-critical data across Google Workspace, Microsoft 365, Salesforce and Slack.
• Our product - SpinOne unifies SSPM, ransomware protection, DLP, backup & recovery in one platform trusted by enterprise customers worldwide.
• As our platform evolves and new features are delivered faster, the volume of manual testing has increased.
• To keep our quality standards high and ensure stable releases,
• we are looking for a Middle Manual QA Engineer
• who takes real ownership of product quality.
• We expect someone who thinks critically, challenges requirements, spots risks before they turn into incidents, and is comfortable diving into UI, APIs, databases, and backend workflows.
• You will become part of a strong QA team of 7 engineers, including both Manual and Automation QA specialists, working closely together to maintain high product quality and continuously improve our testing processes.
• This role is based in
• our Lisbon office
• in a hybrid format.
• If you are not currently in Portugal, we are open to remote work during the trial period, with relocation to Lisbon afterward.
• 🧰 Day-to-Day Responsibilities
• Perform manual testing across UI, APIs, integrations, and backend-driven workflows
• Analyze requirements and acceptance criteria, proactively identifying risks and gaps together with PO/PM/Dev
• Own and maintain test documentation in Zephyr: create, review, and update test cases and checklists; develop and manage test plans and test cycles; prepare test result reports when required
• Validate data integrity and system behavior using database queries
• Run and analyze automated test results to identify problem areas, support root-cause analysis, assist with prioritization, and align on next steps with the team
• Review product documentation, analyze it critically, and suggest improvements
• When needed, deliver short demos or walkthroughs to align with PO/PM
• 📌 Requirements
• 3+ years of manual QA experience in Web/SaaS products (CRM/eCommerce is a plus)
• Strong test design skills (exploratory, risk-based, negative scenarios, regression) and solid bug reporting
• Web fundamentals: HTTP, DevTools (Network/Console), basic HTML/CSS, general understanding of Java
• Databases are mandatory: understanding core DB concepts + hands-on verification using PostgreSQL
• Practical understanding of test plan / test cycle / test case concepts and ability to apply them in Zephyr
• Ability to read documentation, analyze it critically, and suggest changes
• Critical thinking and initiative to uncover risks and non-obvious defects
• English: Intermediate+
• 🛠 Tooling (used daily)
• Jira — bug tracking, tasks, defect communication
• Zephyr — test management (test plans, test cycles, test cases, regression)
• Database tools (PostgreSQL) — data validation and verification via SQL queries
• Browser DevTools (Chrome/Firefox) — Network/Console for request / http analysis, UI behavior, errors
• Automated tests (CI / project runs) — running and reading results/logs to identify weak spots and support defect analysis and alignment on next steps with the development team
• Nice to have: Postman, Swagger, Confluence (or similar), AI tools for QA, Jenkins

Nice-To-Have

• REST API testing (Postman, Swagger). SQL beyond basics
• Exposure to test automation (running tests, reading logs/reports)
• Experience using AI tools to improve QA efficiency
• Knowledge of cloud platforms: AWS, GCP, and Azure (basic services, IAM/permissions, core cloud concepts)
• Java understanding (reading code / following logic is a plus)
• 🌍 Why Spin.AI
• Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2
• Work on a real product with real users and visible business impact
• Work on an interesting and large-scale product
• Solve complex, non-trivial security and engineering challenges
• Opportunity to influence technical and product decisions
• Trust from management and autonomy in day-to-day work
• Strong, professional team with deep expertise

🎁 What We Offer

• Annual performance-based salary review
• Annual performance-based bonus
• Referral bonuses
• Educational budget
• Sport & hobby compensation
• Medical insurance compensation
• Company presents (birthdays, anniversaries, weddings, etc.)
• Corporate travel parties twice a year
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.
• These tools assist our recruitment team but do not replace human judgment.
• Final hiring decisions are ultimately made by humans.
• If you would like more information about how your data is processed, please contact us.

Job Details

About The Company

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