Spin Technology

Comprehensive SaaS data protection platform

Middle QA Engineer - Manual

Manual & Functional QAConfirmed live in the last 24 hours

Full-time

About the Job

Requirements

At least 3 years of manual quality assurance experience in Web or SaaS products; CRM or eCommerce experience is a plus.
Strong test design skills, including exploratory, risk-based, negative-scenario, and regression testing, and solid bug reporting.
Knowledge of web fundamentals, including HTTP, browser developer tools, basic HTML and CSS, and a general understanding of Java.
Understanding of core database concepts and hands-on data verification using PostgreSQL is mandatory.
Practical understanding of test plans, test cycles, and test cases, and the ability to apply them in Zephyr.
Ability to read and critically analyze documentation and suggest changes.
English proficiency at Intermediate or higher.
Nice-to-have experience with REST API testing using Postman or Swagger, and SQL beyond the basics.
Exposure to test automation, including running tests and reading logs or reports.
Experience using AI tools to improve QA efficiency.
Knowledge of cloud platforms including AWS, GCP, and Azure, basic services, IAM and permissions, and core cloud concepts.
Understanding of Java, including reading code and following logic, is a plus.

Responsibilities

Perform manual testing across user interfaces, APIs, integrations, and backend-driven workflows.
Analyze requirements and acceptance criteria, proactively identifying risks and gaps with product owners, project managers, and developers.
Own and maintain test documentation in Zephyr by creating, reviewing, and updating test cases and checklists; developing and managing test plans and test cycles; and preparing 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 critically and suggest improvements.
Deliver short demos or walkthroughs when needed to align with product owners or project managers.

Desired Qualifications

CRM or eCommerce experience.
REST API testing experience using Postman or Swagger, and SQL beyond the basics.
Exposure to test automation, including running tests and reading logs or reports.
Experience using AI tools to improve QA efficiency.
Knowledge of AWS, GCP, and Azure, including basic services, IAM and permissions, and core cloud concepts.
Understanding of Java for reading code and following logic.

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

About the Company

Spin Technology

Comprehensive SaaS data protection platform

Spin Technology (Spin.ai) offers a cloud-focused SaaS data protection platform called SpinOne that safeguards enterprise data across Google Workspace, Microsoft 365, Salesforce, and Slack. SpinOne combines SSPM, risk assessment of third-party apps and browser extensions, AI-based ransomware detection with a two-hour recovery SLA, data loss prevention, and automated backup to AWS, GCP, or Azure. It differentiates itself by delivering an integrated, single platform for multiple SaaS security needs rather than separate tools, with a channel-driven go-to-market for MSPs and MSSPs. The goal is to reduce security costs, streamline SecOps, and improve regulatory compliance for enterprises through unified protection and fast recovery.

Company size: 51-200
Company stage: Series A
Total funding: $19.5M
Headquarters: Palo Alto, CA
Founded: 2017

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