Software Quality Assurance Engineer
$100,000 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

Slow release cycles and error-prone software persist across the industry, driven largely by outdated testing approaches. Even with basic automation, conventional QA methods struggle to identify critical defects early, resulting in expensive delays and dissatisfied end users. Industry data reveals that more than 60% of software bugs surface after release, and quality-related defects impose annual costs exceeding $2 trillion on the software sector. Meeting the demand for faster, more dependable software requires a fundamental shift in quality assurance strategy.

IgniteTech is pioneering this transformation by embedding GenAI capabilities throughout the QA lifecycle. We leverage AI to replicate user interactions, create sophisticated test scenarios, and interpret defect patterns—enabling quicker releases with reduced bug counts. Joining our team positions you at the cutting edge of innovation, where AI eliminates waste and anticipates issues before they materialize.

This position goes beyond conventional QA roles. If you seek an environment centered on manual test runs or repetitive scripting tasks, this opportunity is not suited for you. In this role, you will take ownership of building and advancing AI-powered test automation frameworks, apply predictive analytics to surface latent risks, and contribute to defining the next era of software quality. You will architect scalable systems designed for the realities of contemporary development—not function as a component in an inflexible, legacy workflow. If this aligns with the challenge you have been seeking, submit your application to influence the trajectory of software development.

What you will be doing

  • Build and sustain AI-driven test automation frameworks that produce test cases, scripts, and datasets for thorough validation
  • Apply GenAI capabilities to evaluate testing results, detect defect patterns, and deliver insights that drive continuous improvement
  • Model user behaviors, stress scenarios, and boundary conditions to reveal potential problems ahead of user exposure

Key responsibilities

  • Leverage AI and automation technologies to accelerate product launches and reduce defect rates

Candidate requirements

  • AI-First Mindset (if your instinct is to write code first and then use AI tools to verify or enhance your code, rather than the other way around, then please do not apply)
  • A minimum of 2 years of experience in QA automation, including work testing AI products
  • Proficiency in Selenium and one of the following languages: Python, Java, JavaScript
  • Professional experience using AI tools to automate QA workflows
  • Familiarity with CI/CD platforms, such as Jenkins or GitHub Actions
  • Experience leading teams of QA testers

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.

Chat-style
screening interview.
STEP 1

Chat-style
screening interview.

Cognitive 
aptitude test.
STEP 2

Cognitive 
aptitude test.

Prove real-world 
job skills.
STEP 3

Prove real-world 
job skills.

Interview with the hiring manager.
STEP 4

Interview with the hiring manager.

Pass
proctored test.
STEP 5

Pass
proctored test.

Accept job offer.
STEP 6

Accept job offer.

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