Principal Researcher - QA

Your Career

We are seeking a Principal Researcher in Security Content Validation to lead the testing and validation of efficacy of detection rules. This role requires an expert-level Python coder with a deep background in advanced QA methodologies, dedicated to researching, designing, and implementing automation frameworks that ensure the highest fidelity and scalability of Security Content validation.

Your Impact

• This Principal-level role is central to securing our customers' cloud environments by driving innovative research into quality assurance and developing high-fidelity validation content.
• Designing, developing, and maintaining expert-level automated testing and validation frameworks (leveraging expert Python skills) to ensure the accuracy, and scalability of security detection rules and overall product stability.
• Researching and applying emerging QA technologies (e.g., AI/ML-driven testing) for security detection rules validation, including investigating complex failure modes and architectural weaknesses to develop innovative detection/prevention strategies (the "Secure QA Mindset")
• Establishing and enforcing best practices for high-fidelity security content validation, including rigorous test case creation and management for compliance standards and threat detection.
• Actively contributing to ongoing process enhancements in test automation, Continuous Integration/Continuous Deployment (CI/CD) pipelines, and deployment practices, serving as the authority on quality process design.
• Mentorship: Serving as a technical leader, coaching and guiding QA engineers and researchers on advanced testing techniques and research methodologies.
• Communication: Clearly articulating complex quality metrics, research findings, and validation strategies to engineering teams, product management, and executive leadership.
• Bonus - Establishing industry thought leadership by publishing insightful blogs on security domain.

Your Experience

• Overall Experience: 8-10 years of experience in Quality Assurance, SDET (Software Development Engineer in Test), QA Research.
• Ideal - 5+ years of experience specifically designing and architecting test automation frameworks for complex systems, preferably in the security or cloud domain.
• Must Have - Expert-level proficiency in Python programming for building complex, scalable test automation frameworks, and security validation tools
• Must Have - Deep application of QA principles, including rigorous quality gates and functional policy testing, strong debugging skills in cloud native deployments, and exceptional written and verbal communication.
• Must Have - At least 3 years of hands-on experience in public cloud technologies (AWS, GCP, or Azure) with an understanding of cloud resource configurations and security requirements.
• Highly Desirable - Very good understanding of Computer Networks, Cloud Networks, and Web-based protocols (like HTTP/S, REST) with a deep security understanding of vulnerabilities, exploits, and defensive techniques related to them.
• Highly Desirable - Experience with advanced QA concepts like combinatorial testing, model-based testing, or leveraging GenAI/LLM based automations for test generation or defect analysis.
• Highly Desirable - Familiarity with development tools (Git, CI/CD, bug tracking) and experience with technologies (SQL, BigQuery, JSON) for validation and data analysis..