Middle QA Engineer (Manual)

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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

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