Software Engineer in Test-AI

At Arctic Wolf, you will not just watch the cybersecurity industry evolve – you will help lead the change. Our global team is made up of people who thrive on solving complex problems, moving quickly, and building technology that protects organizations around the world. We are proud to be recognized by Forbes, CNBC, Fortune, CRN, Gartner Peer Insights, and International Data Corporation MarketScape. What matters most is the work behind these recognitions: delivering real outcomes for customers through award-winning innovation such as our Aurora Platform.

If you are looking for meaningful work, smart teammates, and the opportunity to make a real impact in a high-growth company that is redefining security operations, Arctic Wolf is the right place for you.

Our mission is simple: End Cyber Risk.

We are looking for a Senior Quality Engineer - AI Integration to help achieve this missio

n.
The Senior Quality Engineer will contribute to our Engineering organization by building scalable automation frameworks and quality engineering solutions for artificial intelligence, machine learning, and cybersecurity applications. This role will focus on ensuring reliability, performance, and quality across distributed systems, cloud-native services, and large language model-driven applicatio

ns.

IN THIS ROLE, YOU

• WILL:Create and extend software frameworks and tools to execute, monitor, and report on automated
• testsBuild and maintain automation frameworks and continuous integration and continuous delivery pipe
• linesReview testing strategies, approaches, and test plans while providing guidance to development
• teamsArchitect, design, and build automation solutions for application programming interface validation, performance testing, load testing, and fuzz te
• stingDevelop and maintain testing frameworks for generative artificial intelligence and machine learning applica
• tionsValidate model behavior, prompt-response consistency, hallucination detection, and regression testing for artificial intelligence inference application programming inter
• facesImplement evaluation pipelines to measure large language model accuracy, latency, bias, toxicity, and reliab
• ilityCollaborate with highly skilled software engineering professionals across
• teamsContinuously improve engineering quality, automation practices, and testing methodol
• ogiesLearn and adopt emerging technologies in artificial intelligence, cybersecurity, and cloud engine

ering

OUR TECHNOLOGY STACK IN

• CLUDES:Pla
• ywrigh
• tDockerKub
• ernetesAmazon Web Services including Bedrock, Lambda, Simple Queue Service, and Simple Storage
• ServiceLa
• ngChainLarge language model evaluation frameworks such a
• s Ragas
• OpenAPIPos
• tgreS

QLLinux

YOU WILL BE SUCCESSFUL IN THIS

• ROLE IF:You are excited to work at the intersection of artificial intelligence, machine learning, big data, and cybe
• rsecurityYou have more than 6 years of experience delivering high-quality software
• solutionsYou are passionate about improving software quality through automation an
• d testingYou have experience deploying services on cloud computing platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud
• PlatformYou have strong expertise with tools used for functional testing, load testing, and fuzz testing such as Locust
• and CATSYou have experience building automation frameworks and continuous integration and continuous delivery
• pipelinesYou have experience working with distributed systems and microservices arch
• itecturesYou possess strong programming and problem-solving skills in modern software engineering env

ironmentsNice

• to have:Experience testing artificial intelligence or machine learning app
• licationsFamiliarity with large language model evaluation techniques and prompt en
• gineeringExperience working in cybersecurity or cloud-native env

ironments

Do not meet all the requirements That is okay. We still encourage you to apply. We have many opportunities and are always looking for str