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Strong employer brand, metro Bangalore, mid-level SDET title, and hybrid role increase applicant competition.
AI/LLM testing, enterprise multi-tenant and regulated data requirements raise industry-specific fit sensitivity.
Multiple mandatory filters—coding, cloud CI/CD, non-functional and AI-quality experience—raise selection strictness.
Own and define the end-to-end test architecture and quality strategy across Eightfold’s multi-tenant SaaS AI platform, including deep-learning models and AI copilots.
Lead non-functional testing (performance, scalability, reliability, security, data quality) and build test data/environment strategies for sensitive data handling.
Drive AI-accelerated testing initiatives such as AI-generated test cases, self-healing automation, test triage, and synthetic test data generation to enhance QA efficiency.
Bachelor's degree in Engineering (preferably B.E/B.Tech in computer science or related discipline).
3+ years of experience in software quality/engineering owning quality at platform scale.
Strong automation coding skills in Python, Java, or JavaScript/TypeScript and experience with test frameworks like Playwright, Selenium, or Cypress.
Experience designing test architectures and CI/CD quality gates in cloud-native environments (AWS/GCP/Azure, Docker, Kubernetes) with strength in non-functional testing (performance/load, reliability, security).
Experienced in defining and influencing quality standards across multiple teams in complex AI-driven enterprise SaaS products.
Demonstrates deep expertise in automation and CI/CD processes with strong problem solving and communication skills to drive quality as a shared organizational goal.
Preferably has familiarity with AI quality assurance concepts including testing of LLMs, generative AI evaluations, and responsible-AI frameworks such as bias/fairness and explainability.