Job Description
At Arctic Wolf, we're redefining the cybersecurity landscape. With our employee Pack members, spread out globally, committed to setting new industry standards. Our accomplishments speak for themselves, from our recognition in the Forbes Cloud 100, CNBC Disruptor 50, Fortune Future 50, and Fortune Cyber 60 to winning the 2024 CRN Products of the Year award. We’re proud to be named a Leader in the IDC MarketScape for Worldwide Managed Detection and Response Services and earning a Customers' Choice distinction from Gartner Peer Insights. Our Aurora Platform also received CRN’s Products of the Year award in the inaugural Security Operations Platform category. Join a company that’s not only leading, but also shaping, the future of security operations.
Our mission is simple: End Cyber Risk. We’re looking for a Staff QE to be part of making this happen.
Job Description
About the Role
The Arctic Wolf security operations platform ingests and processes upwards of 600 billion events a day from a wide variety of on-premise devices and
cloud platforms. The security pipeline is a distributed system of loosely-coupled microservices that constitute our Realtime analysis and threat detection
systems. These services distil the incoming events into actionable intelligence that our Concierge Security Teams use to protect customers.
We are looking for experienced quality engineers to join our pack and work with us to build and expand the capabilities of our testing platform.
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.
Work as part of a team of highly skilled software professionals.
Continuously learn and expand your technical horizons
Our Technology Stack: Selenium, 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 AIML, Big Data and the Cybersecurity problem space
Have 8+ years of experience shipping quality software
Love driving high software quality
Have experience deploying services on cloud computing platforms (e.g, AWS, Azure, GCP)
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)
About Arctic Wolf
At Arctic Wolf, we’re cultivating a collaborative and productive work environment that welcomes a diversity of backgrounds, cultures, and ideas to make
our teams even stronger as we grow globally. We’ve been named one of the 50 Most Innovative Companies in the world for 2022 (Fast Company)—and
the 2nd Most Innovative Security Company. We have won countless awards for our excellence in security operations and remain dedicated to providing an
industry-leading customer and employee experience including:
Top Workday USA (2021-2024)
Great Place to Work (2022-2024) & Best Workplaces for Women (2024) in Canada
Best Workplaces in Tech & For Women in the UK (2023)
Top Company by Kununu in Germany (2024)
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 protectingpeople’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. See more about our Pack Unity here. Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment
without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or
local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for
people with disabilities. As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for
candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodations by
emailing [email protected].
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.
Skills Required
- 8+ years of experience shipping quality software
- Experience building and maintaining automation frameworks and CI/CD pipelines
- Experience deploying services on cloud platforms (AWS, Azure, GCP)
- Expertise with functional, load and fuzz testing tools (e.g., Locust, CATS)
- Experience developing and maintaining test frameworks for GenAI/AI/ML applications, including LLM validation and regression testing
- Experience with API validation, performance/load testing, and fuzzing methodologies
- Experience working on distributed systems and microservices architecture
- Familiarity with stack: Selenium, Playwright, Docker, Kubernetes, AWS (Bedrock, Lambda, SQS, S3), LangChain, LLM evaluation frameworks (e.g., Ragas), OpenAPI, Postgres, Linux
Arctic Wolf Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Arctic Wolf and has not been reviewed or approved by Arctic Wolf.
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Strong & Reliable Incentives — Incentive plans in sales roles are seen as strong when targets are met, with on‑target earnings positioned as competitive. This dynamic helps explain notably higher satisfaction in sales relative to other functions.
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Equity Value & Accessibility — Equity is included for all employees across offers, broadening ownership beyond limited groups. Broad access to equity can provide meaningful upside tied to company performance.
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Leave & Time Off Breadth — Flexible paid time off and dedicated volunteer time off are core parts of the package. These options expand avenues for time away beyond standard vacation and holidays.
Arctic Wolf Insights
What We Do
The cybersecurity industry has an effectiveness problem. Every year new technologies, vendors, and solutions emerge, and yet despite this constant innovation we continue to see high profile breaches in the headlines. All organizations know they need better security, but the dizzying array of options leave resource-constrained IT and security leaders wondering how to proceed. At Arctic Wolf, our mission is to End Cyber Risk through effective security operations. To achieve this, we believe that organizations must do three key things:
