Quality Assurance Engineer

About Company:

Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud,”enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent.

In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.

Job Title: Quality Assurance Engineer

Location: Pan India

Experience: 9+ yrs.

Employment Type: Contract to hire

Work Mode: Remote

Notice Period: - Immediate joiners

Requirements:

• 9+ years of experience in software quality assurance, with at least 2–3 years in a leadership or managerial role
• Strong background in test automation, with hands-on experience in API testing tools/frameworks (e.g., Postman, PyTest, or similar)
• Good knowledge of Python for test automation and scripting
• Familiarity with REST APIs, async workflows, and microservices testing
• Strong experience testing React.js and Node.js applications
• Hands-on expertise with Playwright, Cypress, or Selenium WebDriver
• Experience driving QA strategy and leading teams in fast-paced engineering environments
• Solid SQL skills for database validation (PostgreSQL, MySQL)
• Familiarity with cross-browser testing, responsive design testing, and accessibility standards
• Experience with visual regression testing and modern UI validation practices
• Knowledge of CI/CD tools (Jenkins, GitHub Actions, etc.)
• Understanding of logging, monitoring, debugging, and backend issue triage
• Strong analytical, problem-solving, and documentation skills
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (preferred)