Quality Engineer 2 ( Python , AI )
Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Sep 8, 2026. Arctic Wolf scores A on the Alion truth index.
#RunwiththePack
At Arctic Wolf, we’re on a mission to end cyber risk.
We are a global leader in security operations, helping organizations stay resilient against evolving cyber threats through industry-leading security operations, threat intelligence, and a people-first approach to cybersecurity.
More than 3,000 Pack members across the world work together every day to protect our customers and empower security teams with new levels of speed, accuracy, and intelligence at scale. What sets us apart is our relentless focus on our customers, innovation at scale, and a collaborative culture where talented people can do meaningful work that truly makes a difference.
We’re constantly looking for talented people to join the Pack and help us take our performance to the next level.
About the Position:
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 2 - 4 years of experience shipping quality software
- Love driving high software quality
- 3+ Years of Python , Pytest , API Testing Experience.
- 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)
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.
Benefits
All wolves receive compelling compensation and benefits packages, including:
- Equity for all employees
- 18 days annual leave, flexible holidays & festivals, and paid volunteer days
- Training and career development programs
- Comprehensive private benefits plan including medical insurance for you and your family, life insurance (3x compensation), and personal accident insurance.
- A modern workplace in Helios Business Park in Bengaluru
Security Requirements
At Arctic Wolf, protecting our people, customers, and data is fundamental to how we operate. All employees are expected to uphold our commitment to security, privacy, and compliance by following internal information security policies, standards, and controls designed to safeguard the confidentiality, integrity, and availability of business, customer, employee, and other confidential information and to support compliance with applicable legal and regulatory requirements.
Depending on the role and where permitted by applicable law, employment may be subject to background verification and additional regulatory, security, or compliance requirements, including obligations related to data protection and export control laws, and authorization requirements where applicable.