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Arctic Wolf

Posted 27 Aug 2026

Senior Quality Engineer - Threat Intel Platform

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Employment
Full time
Team
Data Science & Analytics
Posted
27 Aug 2026

About the role

Responsibilities:

  • 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 pipelines.
  • 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.


Requirements:

  • Excited to work at the intersection of AIML, Big Data, and the Cybersecurity problem space.
  • Have 5+ years of experience shipping quality software.
  • Love driving high software quality.
  • Have experience deploying services on cloud computing platforms (e. g., AWS, Azure, GCP).
  • 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).


Additional notes:

  • Functional and Non-functional Testing.
  • Functional: test planning, UI, and API manual testing
  • Non-functional: Understanding or hands-on experience with performance testing tools such as Locust, JMeter, or any similar tool.
  • Experience in Automation (UI and API).
  • UI Automation: identifying locators, writing scripts, and automating test scenarios.
  • API Automation: using RestAssured or any similar framework to automate APIs.
  • Skills like MCP, AI exposure, or any other relevant competencies listed in the JD would also be valuable.

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