QA Automation Engineer
$60,000 USD/year Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks 

Not accepting applications on crossover.com at this time.

Description

Ready to revolutionize QA with artificial intelligence? We're not just looking for another test automation engineer – we're seeking a visionary who can harness the power of AI to transform how we approach quality assurance. Forget about mundane test maintenance and flaky scripts; this role is about wielding cutting-edge GenAI technology to create intelligent, self-evolving test frameworks that think ahead.

Picture yourself at the heart of our product development cycle, not as an afterthought. You'll be pioneering AI-driven testing methodologies that automatically generate test scenarios from product requirements, predict potential failures, and provide real-time quality insights that directly influence our release strategy. This isn't your grandfather's QA role – it's the future of quality engineering.

If you thrive on innovation, get excited about pushing technical boundaries, and want to be part of a team that's redefining what's possible in QA, you're our kind of engineer. We're building a quality assurance system that doesn't just find bugs – it anticipates and prevents them using the latest in AI technology.

Join our AI-first product team where your expertise in automation and AI will help shape the next generation of quality assurance. If you're ready to break free from traditional QA constraints and architect intelligent testing solutions that scale, we want to hear from you!

What you will be doing

  • Design and architect next-generation test automation frameworks that leverage AI to adapt and evolve with our product
  • Harness the power of GenAI to transform testing data into actionable insights and predictive quality metrics
  • Create intelligent testing systems that can autonomously identify edge cases and simulate complex user behaviors

What you will NOT be doing

Not specified in original description

Key responsibilities

  • Drive product quality excellence through innovative AI-powered automation solutions and comprehensive quality monitoring systems

Candidate requirements

  • Proven track record of 4+ years in QA engineering, demonstrating expertise in designing and implementing robust test automation frameworks
  • Hands-on experience with GenAI technologies and their practical applications in development or quality assurance workflows
  • Strong programming skills with proficiency in modern programming languages

Nice to have

Not specified in original description

Meet a successful candidate

Elsya Fhani
Elsya  |  QA Manual Tester
Indonesia  

As a Crossover candidate, Elsya received feedback that she needed to grow in a few areas before joining Crossover. She developed her skills ...

Read Elsya's Story

Applying for a role? Here’s what to expect.

Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.

Pass Cognitive Aptitude Test.
STEP 1

Pass Cognitive Aptitude Test.

Pass English Proficiency Test.
STEP 2

Pass English Proficiency Test.

Prove Real-World Job & AI Skills.
STEP 3

Prove Real-World Job & AI Skills.

Ace An Interview Or Two.
STEP 4

Ace An Interview Or Two.

Accept Job Offer.
STEP 5

Accept Job Offer.

Frequently asked questions

About Crossover

What you will learn

Not specified in original description

Work examples

Not specified in original description

Meet some people who've landed similar jobs

Why Crossover

Recruitment sucks. So we’re fixing it.

The Olympics of work

The Olympics of work

It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.

Premium pay for premium talent

Premium pay for premium talent

Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.

Shortlist by skills, not bias

Shortlist by skills, not bias

We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.

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