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 Senior Quality Engineer - Artificial Intelligence Integration to help achieve this mission.

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 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 8 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 10000 customers worldwide and more than 2000 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