Quality Engineer

Responsibilities

• Create and extend software frameworks and tools to run, monitor, and report on automated tests
• Build and maintain automation frameworks and CI/CD pipelines
• Architect, design, and build software to automate API validation, performance/load testing, and fuzzing
• Develop test frameworks for GenAI and AI/ML applications, including model validation and LLM prompt-response consistency
• Implement evaluation pipelines to test LLM accuracy, latency, bias, toxicity, and reliability
• Review testing strategies, approaches, and test plans to provide insight to development teams

Requirements

• 2-4 years of experience shipping quality software
• Experience with automation frameworks and CI/CD pipelines
• Proficiency in cloud computing platforms such as AWS, Azure, or GCP
• Expertise using tools for functional, load, and fuzz testing (e.g., Locust, CATS)
• Experience working with distributed systems and microservices architecture

Preferred Qualifications

• Experience with Python, Go, Docker, or Kubernetes
• Familiarity with GenAI/LLM evaluation frameworks (e.g., Ragas) or LangChain
• Knowledge of Selenium, Playwright, or OpenAPI

About the Company

Arctic Wolf is a cybersecurity leader dedicated to ending cyber risk. Recognized by Forbes Cloud 100 and Gartner, we provide a leading security operations platform that processes massive amounts of data to protect customers globally. We foster a collaborative, inclusive environment where diverse perspectives drive innovation in the security landscape.