Must Have Technical/Functional Skills
Experience in QA automation with strong programming skills in languages such as Python, Java, or similar.
Knowledge of AI/ML concepts and practical experience applying AI/ML techniques in software testing
or quality assurance.
Familiarity with secure access technologies, zero-trust security models, and network security principles.
Experience with AWS DevOps tools and CI/CD pipelines, preferably with AI/ML integration.
Understanding of security risks related to AI/ML workloads and mitigation strategies.
Strong analytical and problem-solving skills with attention to detail.
Ability to work collaboratively in a fast-paced, cross-functional team environment.
Roles & Responsibilities
Develop and maintain automated test suites for secure access products using AI/ML techniques to improve
test coverage and efficiency.
Utilize AI/ML models to identify test case redundancies, optimize test execution, and predict potential failure points
to reduce error rates in production.
Collaborate with cross-functional teams to automate policy creation, testing, and troubleshooting of
secure access features.
Implement AI-driven analytics to detect advanced security threats and validate security controls within the
secure access environment.
Participate in the design and implementation of AI/ML-powered DevOps pipelines to enable autonomous
testing and continuous integration/continuous deployment (CI/CD).
Ensure compliance with security standards and best practices in AI/ML model usage and data handling.
Monitor and analyze test results, providing actionable insights to improve product quality and security posture.
Stay current with emerging AI/ML technologies and security trends relevant to secure access solutions.