QA Automation Engineer, AI/ML

Q1 Technologies, Inc.

Requirements:

Experience in QA automation and strong programming skills in Python, Java, or similar languages.
Knowledge of AI/ML concepts and practical experience applying them to 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 incorporating AI/ML.
Understanding of security risks associated with AI/ML workloads and ways to mitigate them.
Strong analytical and problem-solving abilities, with attention to detail.
Ability to collaborate in a fast-paced, cross-functional team environment.

Responsibilities:

Develop and maintain automated test suites for secure access products, applying AI/ML techniques to improve coverage and efficiency.
Use AI/ML models to identify redundant test cases, optimize test execution, and predict potential failures to reduce production errors.
Work with cross-functional teams to automate policy creation, testing, and troubleshooting for secure access features.
Apply AI-driven analytics to identify advanced security threats and validate controls in secure access environments.
Contribute to AI/ML-powered DevOps pipelines that support autonomous testing and CI/CD.
Ensure AI/ML model use and data handling comply with security standards and best practices.
Monitor and analyze test results, sharing actionable insights to improve product quality and security.
Keep up with emerging AI/ML technologies and security trends relevant to secure access solutions.

Technologies:

We are seeking a QA Automation Engineer with AI/ML expertise for a full-time, remote position focused on secure access products.

last updated 44 week of 2026

More