Staff Quality Engineer - AI SOC

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 Staff Quality Engineer - Artificial Intelligence to help achieve this mission.

The Staff 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, scalability, performance, and quality across distributed systems, cloud-native services, and large language model-driven applications. The Arctic Wolf security operations platform ingests and processes more than 600 billion events per day from a wide variety of on-premises devices and cloud platforms. The security pipeline is a distributed system of loosely coupled microservices that power real-time analysis and threat detection systems. These services transform incoming events into actionable intelligence used by Arctic Wolf Security Services teams to help protect customers.

IN THIS ROLE, YOU WILL:

• Create and extend software frameworks and tools to execute, monitor, and report on automated tests
• Build and maintain automation frameworks and continuous integration and continuous delivery pipelines
• Review testing strategies, approaches, and test plans while providing guidance to development teams
• Architect, design, and build automation solutions for application programming interface validation, performance testing, load testing, and fuzz testing
• Develop and maintain testing frameworks for generative artificial intelligence and machine learning applications
• Validate model behavior, prompt-response consistency, hallucination detection, and regression testing for artificial intelligence inference application programming interfaces
• Implement evaluation pipelines to measure large language model accuracy, latency, bias, toxicity, and reliability
• Collaborate with highly skilled software engineering professionals across teams
• Continuously improve engineering quality, automation practices, and testing methodologies
• Learn and adopt emerging technologies in artificial intelligence, cybersecurity, cloud engineering, and distributed systems

OUR TECHNOLOGY STACK INCLUDES:

• Selenium
• Playwright
• Docker
• Kubernetes
• Amazon Web Services including Bedrock, Lambda, Simple Queue Service, and Simple Storage Service
• LangChain
• Large language model evaluation frameworks such as Ragas
• OpenAPI
• PostgreSQL
• Linux

YOU WILL BE SUCCESSFUL IN THIS ROLE IF:

• You are excited to work at the intersection of artificial intelligence, machine learning, big data, and cybersecurity
• You have more than 10+ years of experience delivering high-quality software solutions
• You are passionate about driving software quality through automation and testing
• You have experience deploying services on cloud computing platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
• You have strong expertise with tools used for functional testing, load testing, and fuzz testing such as Locust and CATS
• You have experience building automation frameworks and continuous integration and continuous delivery pipelines
• You have experience working with distributed systems and microservices architectures
• You possess strong programming, debugging, and problem-solving skills in modern software engineering environments
• You continuously adapt to emerging technologies, testing methodologies, and engineering best practices

Nice to have:

• Experience testing artificial intelligence or machine learning applications
• Familiarity with large language model evaluation techniques and prompt engineering
• Experience working within cybersecurity or cloud-native environments
• Experience building scalable testing infrastructure for distributed systems

WHAT SUCCESS LOOKS LIKE:

• Scalable and reliable automated testing frameworks supporting high-throughput distributed systems
• Improved software quality, reliability, and deployment confidence across engineering teams
• Comprehensive validation pipelines for artificial intelligence and machine learning systems
• Proactive identification of quality, performance, and scalability issues before production deployment
• Strong collaboration across engineering teams to deliver resilient and high-performing systems

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

On-Camera Policy

To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews. Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations.

At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace United States, Best Places to Work United States, Great Place to Work Canada, Great Place to Work United Kingdom, and Kununu Top Company Germany. Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 10,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand and enhance our technology, Arctic Wolf remains a trusted name in the industry.

Our Values

Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion and value the unique perspectives all employees bring to the organization. By protecting sensitive data and working to end cyber risk, we contribute to an industry that serves the greater good.

We celebrate diverse perspectives through our Pack Unity program and encourage employees to participate in or create new alliances.

We also believe in corporate responsibility and have joined the Pledge One Percent movement to give back to our communities.

All employees receive compelling compensation and benefits packages, including:

• Equity for all employees
• Flexible annual leave, paid holidays, and volunteer days
• Training and career development programs
• Comprehensive private benefits plan including medical insurance for you and your family, life insurance equal to three times compensation, and personal accident insurance
• Fertility support and paid parental leave

Arctic Wolf is an equal opportunity employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under applicable law. We are committed to fostering a welcoming, accessible, and inclusive environment.

Security Requirements

• Conduct duties in accordance with Arctic Wolf information security policies, standards, and controls
• Background checks are required for this position
• This role may require access to information protected under United States export control laws and regulations