QA Automation Engineer with AI/ML

Q1 Technologies, Inc.

Requirements:

We require experience in QA automation and strong programming skills in Python, Java, or a similar language.
We expect knowledge of AI/ML concepts and practical experience applying AI/ML techniques in software testing or quality assurance.
We require familiarity with secure access technologies, zero-trust security models, and network security principles.
We seek experience with AWS DevOps tools and CI/CD pipelines, preferably including AI/ML integration.
We expect an understanding of security risks associated with AI/ML workloads and ways to mitigate them.
We value strong analytical and problem-solving skills, attention to detail, and the ability to collaborate in a fast-paced, cross-functional team.

Responsibilities:

Develop and maintain automated test suites for our secure access products, applying AI/ML techniques to improve test coverage and efficiency.
Use AI/ML models to identify redundant test cases, optimize test execution, and predict potential failure points 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 security controls in our secure access environment.
Help design and implement AI/ML-powered DevOps pipelines that support autonomous testing and continuous integration and deployment.
Ensure our AI/ML model usage and data handling follow security standards and best practices.
Monitor and assess 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 hiring for a role focused on QA automation for secure access products, combining software testing, AI/ML, security, and DevOps practices.

last updated 44 week of 2026

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