Senior Quality Engineer 2 - AI - SOC Automation

About the Role

At Arctic Wolf, our AI-driven Security Operations Cloud ( AISOC ) processes hundreds of billions of security signals every day from a wide range of on-premises and cloud environments. Using advanced AI and automation, our platform turns complex data into meaningful insights that help detect and respond to threats faster and more effectively.

Behind the scenes, our platform is powered by a scalable, distributed architecture built on microservices that enable real-time analysis and continuous improvement in threat detection.

As part of our Concierge Security® approach, these insights are paired with expert human analysis to provide proactive protection for our customers.

We are looking for passionate and experienced Quality Engineers to join our team and help build and enhance our next-generation testing platforms. In this role, you’ll contribute to ensuring the reliability, performance, and quality of systems that are critical to delivering AI-powered security outcomes.

You Will:

Create and extend software frameworks and tools to run, monitor, and report on automated tests.

Have experience building and maintaining Automation frameworks and CI/CD pipeline.

Review testing strategies, approaches, and test plans and provide insight to development teams.

Architect, design and build software to automate a variety of testing methods (e.g. API validation, performance/load testing, fuzzing, etc.)

Develop and maintain test frameworks for GenAI-based and AI/ML applications, including model validation, LLM prompt-response consistency, hallucination detection, and regression testing for AI inference APIs.

Implement evaluation pipelines to test LLM accuracy, latency, bias, toxicity, and reliability.

Our Technology Stack: Pytest, Robot, RestAPIs, Python, Playwright, Docker, Kubernetes, AWS (Bedrock, Lambda, SQS, S3, etc.), LangChain, LLM evaluation frameworks (e.g., Ragas), OpenAPI, Postgres, Linux.

You:

Are excited to work at the intersection of AI/ML, Big Data and the Cybersecurity problem space

Have experience deploying services on cloud computing platforms (e.g, AWS, Azure, GCP)

Continuously learn and your technical horizons

Work as part of a team of highly skilled software professionals.

Are an expert using common tools for executing functional, load and fuzz testing (e.g. Locust, CATS)

Have worked on distributed systems and microservices architecture (preferred)

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.

About Arctic Wolf

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 USA (2021-202 5 ), Best Places to Work – USA (2021-202 5 ), Great Place to Work – Canada (2021-202 4 ), Great Place to Work – UK (2024 - 2026 ), and Kununu Top Company – Germany ( 2024- 202 6 ). 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 globally and enhance our technology, Arctic Wolf remains the most 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 truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good.

We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance.

We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities.

All India wolves receive compelling compensation and benefits packages, including:

• Equity for all employees

• Flexible annual leave, paid holidays and volunteer days

• Comprehensive private benefits plan including medical insurance for you and your family, life insurance (3x compensation), and personal accident insurance.

• Fertility support and paid parental leave

• Employee Assistance Program

Security Requirements

• Conducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies) .

• Background checks are required for this position.

• This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (“EAR”). Please note that, if applicable, an offer for employment will be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations.