Senior 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

The software sector faces persistent challenges with sluggish release timelines and defect-laden products, primarily driven by legacy testing approaches. Conventional QA methodologies, including those with rudimentary automation, consistently miss critical defects until late in the cycle, resulting in expensive setbacks and dissatisfied end users. Industry data indicates that more than 60% of software defects surface after release, with quality failures costing the global software industry upward of $2 trillion annually. The push for accelerated, dependable software necessitates a fundamental transformation in quality assurance strategy.

IgniteTech is pioneering this transformation by embedding GenAI capabilities throughout the entire QA lifecycle. By leveraging artificial intelligence to replicate user interactions, produce intricate test scenarios, and evaluate defect patterns, we achieve accelerated delivery cycles with reduced bug counts. Becoming part of our team positions you at the cutting edge of this innovation, where AI is used to remove bottlenecks and anticipate failures before they materialize.

This position diverges from conventional QA roles. If you seek an environment centered on manual test execution or repetitive scripted automation, this opportunity is not suitable. In this role, you will take ownership of designing and advancing AI-powered test automation platforms, implement predictive analytics to surface latent risks, and influence the trajectory of software quality practices. You will serve as the architect behind adaptable, scalable solutions tailored to contemporary development demands—not as a participant in rigid, obsolete workflows. If this resonates with your professional aspirations, apply today to contribute to the next era of software development.

What you will be doing

  • Design and sustain AI-driven test automation frameworks that generate test cases, scripts, and datasets for thorough validation
  • Apply GenAI tools to evaluate testing results, detect defect patterns, and deliver actionable recommendations for ongoing enhancement
  • Create simulations of user interactions, high-stress environments, and boundary conditions to expose potential defects prior to user impact

Key responsibilities

  • Leverage AI and automation technologies to accelerate product release cycles and minimize product defects

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)
  • At least 2 years of experience in a QA automation role, including experience 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

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Cognitive 
aptitude test.

Prove real-world 
job skills.
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job skills.

Interview with the hiring manager.
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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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