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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain automated testing frameworks and tools for security operations platform handling massive data events.
Architect and implement evaluation pipelines for GenAI and AI/ML applications, including model validation, hallucination detection, and regression testing for AI inference APIs.
Review and improve testing strategies and implement CI/CD pipeline automation focused on API validation, performance/load testing, and fuzzing.
Minimum Requirements
Minimum 8+ years of experience in software quality engineering with focus on automation frameworks and software testing.
Proficiency in Python and experience with automation tools like Selenium, Playwright, Locust, CATS.
Experience deploying services on cloud platforms such as AWS (including AWS Bedrock, Lambda, SQS, S3) or equivalent (Azure, GCP).
Work Experience Required: 8+ years; Notice Period: Not explicitly mentioned in the JD
Ideal Candidate Profile
Strong background in building test frameworks for AI/ML and GenAI applications, including LLM evaluation and validation pipelines.
Experienced in working with distributed systems and microservices architecture within cybersecurity or large-scale data processing environments.
Expertise with cloud-native technologies (Docker, Kubernetes) and AI-related services (LangChain, LLM evaluation frameworks) integrated into testing platforms.