Back
Medium—senior niche QA role at a known cyber firm in Bangalore, moderate applicant density.
High—role requires cybersecurity, ML/LLM evaluation, and distributed-systems testing expertise limiting cross-industry fit.
High—explicit 8+ years and specialized ML, CI/CD, and security testing requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and extend automation frameworks and tools for running, monitoring, and reporting on automated tests across cybersecurity and AI/ML applications.
Architect and build software to automate testing methods including API validation, performance/load testing, fuzzing, and AI/ML model validation such as LLM prompt-response consistency and hallucination detection.
Implement evaluation pipelines to assess LLM accuracy, latency, bias, toxicity, and reliability within a distributed microservices architecture processing large-scale cybersecurity event data.
8+ years of experience in software quality engineering or related roles.
Experience building and maintaining automation frameworks and CI/CD pipelines.
Proficiency in functional, load, and fuzz testing tools (e.g., Selenium, Playwright, Locust, CATS).
Experience deploying services on cloud platforms such as AWS, Azure, or GCP.
Experienced in working with distributed systems and microservices architectures, preferably in cybersecurity or big data contexts.
Skilled in testing AI/ML models and frameworks, including GenAI and LLM evaluation methods.
Comfortable working at the intersection of AI/ML, big data, and cybersecurity technology stacks integrating cloud and container orchestration tools (Docker, Kubernetes).