13 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Define and drive end-to-end test architecture, standards, and quality strategy across products and services.
- Own testing strategies and frameworks across unit, API/contract, integration, UI, and end-to-end layers.
- Design CI/CD quality gates and establish reliable release criteria.
- Lead performance, scalability, reliability, resilience, security, and data-quality testing for a multi-tenant platform.
- Build test-data management and environment strategies for sensitive candidate and employee data.
- Define quality metrics and improve 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 through generated test cases, self-healing automation, intelligent triage, coverage analysis, and synthetic test-data generation.
Requirements
- Bachelor’s degree in engineering, preferably computer science or a related discipline, is preferred.
- 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 ability in Python, Java, or JavaScript/TypeScript and expertise with Playwright, Selenium, Cypress, or similar frameworks.
- Experience designing test architecture and CI/CD quality gates in cloud-native environments using AWS, GCP, or Azure, Docker, and Kubernetes.
- Strength in performance/load testing, reliability testing, and security fundamentals, with tools such as k6, JMeter, or Gatling.
- Experience testing data-driven or ML-driven systems, or demonstrated ability to ramp quickly into new technical domains.
- Ability to set standards across teams, communicate effectively, solve problems analytically, and work independently and collaboratively.
- Preferred experience building LLM/GenAI evaluations, testing ML pipelines and model performance, applying responsible-AI concepts, working with enterprise multi-tenant SaaS or regulated domains, and introducing AI-assisted QA tooling.
Benefits
- Work on AI quality and assurance for products affecting career and hiring decisions for millions of people.
- Work with a globally deployed, multi-tenant SaaS platform operating across AWS and Azure and supporting 100+ countries and 30+ languages.
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.