Develop and maintain automated test frameworks for web, API, and system-level testing.
Create reusable test scripts for regression, integration, and end-to-end workflows.
Drive CI/CD pipeline integration of automated tests.
Validate AI-driven features for accuracy, fairness, and transparency.
Conduct load, stress, and endurance testing to ensure system performance under varying conditions.
Define performance benchmarks and reporting metrics.
Integrate security testing into QA processes (e.g., vulnerability scanning, penetration testing).
Validate compliance with security and audit standards such as SOX, ISO 27001, GDPR, and OWASP best practices.
Collaborate with security teams to remediate identified risks.
Assess usability of AI-powered systems, ensuring intuitive and accessible user experiences.
Contribute to building responsible AI testing methodologies within QA processes.
Analyze bottlenecks, resource leaks, and latency issues in collaboration with engineering teams.
Work closely with cross-functional teams across Ireland and global offices.
Document test cases, defects, and quality metrics in tracking systems (e.g., JIRA).
Provide QA status reports and recommendations for process improvements.
Validate headers, schemas, and authentication flows in API Security Testing.
Participate and assist PR reviews that flag OWASP Top Ten issues or other application security vulnerabilities.

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
5+ years of experience in software QA or test automation roles.
Experience with Python and the Python ecosystem.
Strong expertise in automation tools (e.g., Playwright, Robot Framework, etc).
Hands-on experience with performance testing tools (e.g., Locust, Grafana k6, Gatling etc).
Understanding of LLMs and agentic AI architectures, including methods for evaluating model outputs, prompt engineering, and safety validation.
Familiarity with security testing tools (e.g. OWASP ZAP, Bandit, Burp Suite, Nessus).
Knowledge of CI/CD (DevOps Pipelines, ArgoCD etc) and cloud environments ie. Azure (Preferred), AWS, GCP.
Excellent problem-solving, debugging, and analytical skills.
Strong communication skills and ability to collaborate across teams.

Software Quality Assurance Engineer

Key skills