Quality Engineer 2
Arctic WolfThis role is no longer listed. Arctic Wolf took the posting down on Oct 8, so applying now won't reach anyone. It stays here for your saved list and any links you shared.
Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Develop, extend, and maintain automated testing frameworks and tools for a large-scale security operations platform handling 600+ billion daily events.
Architect and implement automated testing pipelines covering API validation, performance/load testing, fuzzing, and AI/ML model validation including GenAI/LLM model evaluation.
Collaborate with software development teams to review testing strategies and continuously improve test automation and quality assurance processes.
Minimum Requirements
2 to 4 years of experience in software quality engineering or related roles.
Experience building and maintaining automation frameworks and CI/CD pipelines.
Proficiency with cloud computing platforms such as AWS, Azure, or GCP and common testing tools for functional, load, and fuzz testing (e.g., Locust, CATS).
Work Experience Required: 2 - 4 years
Ideal Candidate Profile
Technical background with hands-on experience in distributed systems and microservices architectures (preferred).
Experience working at the intersection of AI/ML, Big Data, and cybersecurity domains in quality engineering roles.
Comfortable working with modern cloud services (AWS, Kubernetes, Docker) and advanced AI/ML testing technologies like LLM evaluation frameworks.