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Revvity

Senior QA Engineer

Reposted An Hour Ago
Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
The Senior QA Engineer will design and execute quality strategies for AI features, build automation, and validate data within Agile environments.
The summary above was generated by AI
Job TitleSenior QA Engineer
Location(s)
India - Remote

About Us

Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.

Find your future at Revvity 

We’re looking for a Senior QA Engineer with 7+ years of experience in QA (manual + automation), including the latest 5 years focused specifically on modern automation frameworks. The ideal candidate will also have proven hands-on AI/ML testing experience in production environments. You’ll design and execute quality strategies for AI features end-to-end, build and maintain automation using Playwright/Selenium, and develop Python/TypeScript-based tools for data, model, and API validation within an Agile development environment.

  • Experience: Proven, 7 years+ experience in a hybrid QA role, with a strong background in both manual and automated testing. 

  • AI/ML testing: Direct, hands-on experience testing AI applications or ML models in a production environment. 

  • Automation frameworks: Strong skills with automation frameworks and tools such as Playwright, Selenium, or similar. 

  • Programming: Proficiency in typescript, as well as Python being highly preferred due to its prevalence in ML. 

  • Methodology: Solid understanding of software quality assurance methodologies, testing tools, and processes within an Agile development lifecycle. 

  • Analytical skills: Excellent analytical and problem-solving skills with a keen eye for detail. 

  • Communication: Strong written and verbal communication skills, with the ability to articulate complex issues to both technical and non-technical stakeholders. 

  • Education:Bachelor’s degree in computer science, Data Science, or related technical field.  

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