Senior Quality Engineer - AutoSOC

Job Summary

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.

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 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.

Requirements

• Are 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).
• 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).

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