29 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Define and drive end-to-end test architecture, standards, and quality strategy across products and services.
- Own testing across unit, API/contract, integration, UI, and end-to-end layers and build the frameworks teams use.
- Design CI/CD quality gates and establish trustworthy release criteria.
- Lead performance, scalability, reliability, resilience, security, and data-quality testing for a high-volume multi-tenant platform.
- Build test-data management and environment strategies for sensitive candidate and employee data.
- Define quality metrics including coverage, escape rate, flakiness, MTTR, and release confidence.
- Mentor SDETs and QA engineers and influence engineering-wide quality culture.
- Own quality assurance for LLM-powered copilots and agents, including groundedness, hallucination, prompt-regression, guardrail, safety, and red-team testing.
- Drive AI-assisted testing such as generated test cases, self-healing automation, intelligent triage, coverage analysis, and synthetic test-data generation.
Requirements
- Bachelor’s degree in engineering, preferably a B.E. or B.Tech in computer science or a related discipline.
- 10+ years of experience in software quality or engineering, including several years as a test architect, principal SDET, or equivalent quality owner at platform scale.
- Strong coding and test-automation experience with one or more of Python, Java, or JavaScript/TypeScript.
- Experience with Playwright, Selenium, Cypress, or similar testing frameworks and API/contract testing.
- Experience designing test architecture and CI/CD quality gates in cloud-native environments.
- Experience with AWS, GCP, or Azure and Docker and Kubernetes.
- Strength in performance/load testing, reliability testing, and security fundamentals.
- Experience testing data- or ML-driven systems or demonstrated ability to ramp quickly into new technical domains.
- Strong judgment, influence, problem-solving, analytical, verbal, and written communication skills.
- Ability to work independently and within a team structure.
- Preferred experience building LLM/GenAI evaluations, testing ML pipelines and model performance, applying responsible-AI concepts, working in enterprise multi-tenant SaaS or regulated domains, and introducing AI-assisted tooling into QA or engineering organizations.
Tech Stack
Apache JMeterAWSAzureCypressDockerGitHub ActionsGoogle Cloud PlatformJavaJavaScriptJenkinsKubernetesPythonSeleniumTypeScript
Categories
About Eightfold
Eightfold AI provides a subscription Talent Intelligence Platform that uses machine learning to support talent acquisition, internal mobility, and workforce upskilling for large organizations. Its software integrates with common ATS and HRIS systems and is deployed globally in more than 155 countries and 24 languages. Founded in 2016 and headquartered in Santa Clara, California, Eightfold is a privately held company.