QA Engineer (Performance + Manual Testing) Lisboa

Spin. AI is a global Saa
S cybersecurity company that protects
- critical data across Google Workspace, Microsoft 365, Salesforce, Slack & more. Our product – Spin
One – is a leading platform that unifies SSPM, ransomware protection, DLP, backup & recovery.

We’ve been recognized by Forbes as one of the Top 500 Best Employers and continue to scale rapidly. As we grow, our platform must confidently handle massive data flows and
- load enterprise environments and this is exactly where we need you.

We are looking for a Performance-focused QA Engineer who will help us strengthen system stability, identify bottlenecks, and ensure our platform can handle
- volume enterprise workloads. At the start of your journey with us, you will:

• Audit the current system, find weak points, and improve performance quality
• Build and execute performance and load testing strategy
• Ensure the product withstands large data volumes and heavy user load
• Cover core functionality with tests (automation + manual when needed)
• Propose engineering improvements, not just report issues

This is a role for someone who thinks as an engineer, not just a tester.

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

Automation Testing

• Develop, maintain, and optimize automated tests on Java
• Use modern automation tools (e. g. , Selenium, Test
  NG, JUnit). Integrate tests into CI/CD processes

Performance Testing

• Create scripts for load testing (1, 000+ users)
• Utilize tools such as JMeter, Gatling, or Load
  Runner
• Conduct performance tests, analyze results, and monitor the system under load
• Identify bottlenecks and provide recommendations to address them
• Implement best practices to ensure system stability

Manual Testing

• Perform functional, regression, and integration testing
• Analyze requirements and create test cases
• Conduct manual testing of core system components
• Report detected issues and collaborate with developers to resolve them

Requirements

Technical Expertise

• Proficient in Java and experienced in using it for writing tests
• 2+ years of experience in automation testing (knowledge of tools such as Selenium, Appium, or similar)
• 2+ years of experience in performance testing (JMeter, Gatling, Load
  Runner, or similar tools)
• Experience with monitoring systems (e. g. , Grafana, Kibana)
• Experience testing microservices architectures and APIs (Postman, Swagger, REST, SOAP)
• Familiarity with cloud platforms such as AWS, Google Workspace, and Azure
• Understanding of database operations (e. g. , SQL, No
  SQL) and ability to perform queries for testing

Manual Testing Skills

• Proficiency in manual testing methods and approaches
• Familiarity with task tracking systems (Jira, Trello, Azure Dev
  Ops). Experience in creating test cases, checklists, and preparing test documentation (Zephyr Scale)

Soft Skills

• Attention to detail and responsibility.
• Strong teamwork and communication skills
• Ability to work independently and solve problems proactively

Nice-to-Have

• Experience with Docker, Kubernetes
• Understanding of CI/CD processes and tools (Jenkins)

Why Spin. AI

• Recognized by Forbes as one of the Top 500 Best Employers
• Work in a
  - moving,
  - impact cybersecurity company recognized by Gartner, Forrester, and G2
• Collaborative, transparent culture – your ideas and experiments matter
• Direct impact: your work translates into real business growth and visibility
• Remote flexibility, growth opportunities, and
  - based rewards

What We Offer

• A dream team of highly motivated and talented people, ambitious goals
• Unlimited PTO
• Medical insurance
• Corporate English
• Amazing Team Building Activities
• Employee Wellness Program
• Conferences, training, and other events
• For more information, please visit: https://spin. ai/

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 our data is processed, please contact us.