Spin.AI is a global SaaS cybersecurity company that protects mission-critical data across Google Workspace, Microsoft 365, Salesforce, Slack & more. Our product – SpinOne – 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 high-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 high-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.
\uD83E\uDDF0 Day-to-Day Responsibilities
- Automation Testing:
- Develop, maintain, and optimize automated tests on Java
- Use modern automation tools (e.g., Selenium, TestNG, JUnit).Integrate tests into CI/CD processes.
Performance Testing:
- Create scripts for load testing (1,000+ users).
- Utilize tools such as JMeter, Gatling, or LoadRunner.
- 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.
\uD83D\uDCCC 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, LoadRunner, 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, NoSQL) 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 DevOps). 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).
\uD83C\uDF0D 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
\uD83C\uDF81 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.
