Senior Principal Software Engineer - Quality Assurance

Job Title - Sr. Principal Software Engineer - Quality Assurance

Position Overview

Sr. Principal Software Engineer - QA

Responsibilities

• Define and execute the overarching quality assurance strategy, ensuring alignment with business and technical goals, while demonstrating full accountability for its success.
• Lead the design, development, and execution of robust testing frameworks and methodologies for cybersecurity, identity security, cloud, and SaaS products.
• Introduce and implement AI-driven testing solutions to improve efficiency, coverage, and effectiveness of QA processes.
• Collaborate closely with Engineering, Product, and Operations teams to ensure seamless integration of QA practices throughout the development lifecycle.
• Champion continuous improvement initiatives, driving enhancements in performance, scalability, and reliability testing, with clear ownership of results.
• Mentor and guide QA engineers, fostering a culture of technical excellence, ownership, and proactive problem-solving.
• Take complete ownership of test environments, CI pipelines, and automation frameworks to ensure streamlined and reliable delivery pipelines.
• Act as a key advocate for quality in product releases, influencing stakeholders to prioritize testing and resolve issues proactively, while owning the outcomes.
• Proactively identify, assess, and mitigate risks impacting product quality and delivery timelines, taking responsibility for effective resolutions.
• Contribute to strategic planning and roadmap discussions, providing insights on quality implications of product and engineering decisions, and owning their execution.

Requirements

• 16+ years of progressive experience in quality assurance, with a strong focus on cybersecurity, identity security, cloud, or SaaS domains.
• Proven expertise in startup environments, demonstrating adaptability, resourcefulness, and a strong sense of ownership in dynamic settings.
• Deep understanding of testing frameworks, tools, and methodologies, including functional, performance, scalability, and reliability testing.
• Hands-on experience with AI tools and techniques to enhance testing processes, such as AI-powered test case generation, defect prediction, and automated validations.
• Proficiency with CI/CD pipelines, Docker, and modern DevOps practices.
• Strong leadership and mentorship skills, with the ability to inspire and elevate team capabilities, emphasizing ownership and accountability.
• Exceptional problem-solving skills, with a results-driven and proactive approach to tackling complex challenges.
• Excellent communication and collaboration abilities, ensuring alignment across diverse stakeholders.
• Confidence and assertiveness to lead discussions, make decisions, and advocate for quality in high-pressure scenarios.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.