Remote
Full Time
It is an early-stage cybersecurity startup building a next-generation platform for security data analytics. We process and query large-scale event and log data, leveraging modern open-source technologies and a hybrid SaaS model. Our team is small, senior, and fast-moving. We’re looking for talented engineers to join us in building foundational systems from the ground up.
We’re looking for exceptional Quality Assurance Engineers who go beyond test scripts — people who think like users, attackers, and defenders. QA is not a checkbox; it’s a critical layer of defense ensuring that our security platform performs flawlessly in real-world conditions. You’ll collaborate closely with engineering teams to ensure quality, performance and usability of our products. The ideal candidate has a passion for uncovering elusive bugs, designing robust test systems, and understanding the nuances of cybersecurity workflows.
• Design, develop, and execute comprehensive test plans and continuously up level the quality game.
• Identify and analyze defects that impact real-world user experiences — not just edge cases.
• Validate data integrity, performance, and scalability across distributed environments.
• Collaborate with developers to reproduce, isolate, and resolve issues effectively.
• Perform security validation testing, ensuring features align with defensive use cases and compliance needs.
• Contribute to CI/CD pipelines by integrating automated testing for continuous quality feedback.
• Champion quality best practices and continuously enhance QA processes.
• 5+ years of experience in QA for complex, data-driven, or security-focused applications.
• Strong understanding of testing methodologies (functional, regression, performance, and security testing).
• Experience with test automation tools (e.g., Cypress, Playwright, Selenium, or Postman).
• Solid grasp of API testing, microservices validation, and data validation workflows.
• Basic understanding of cybersecurity concepts such as SIEM, SOC workflows, alerts, log pipelines, or incident response.
• Ability to think from an end-user perspective and simulate real-world security operations usage.
• Excellent debugging, communication, and analytical skills.
• Familiarity with cloud platforms (AWS, GCP, Azure) and Kubernetes-based deployments.
• Exposure to security/SIEM tools.
• Experience in performance testing, load testing, or chaos testing environments.
• Prior experience in a cybersecurity company or working with data analytics pipelines.
• Work on cutting-edge security analytics technology.
• Be part of a team that values curiosity, ownership, and precision.
• Opportunity to influence product quality at every level — from architecture to user experience.
• Competitive compensation, flexibility, and a fast-moving, collaborative environment.
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