Quality Engineer 2 ( Python , Automation )

At Arctic Wolf were 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 3000 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.

Were constantly looking for talented people to join the Pack and help us take our performance to the next level.

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.

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

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.