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
Description
Slow release cycles and defect-laden products continue to plague the software industry, driven primarily by legacy testing methodologies. Even with rudimentary automation in place, conventional QA approaches fall short in identifying critical defects early, resulting in expensive setbacks and dissatisfied end users. Industry data reveals that more than 60% of software defects surface after release, with quality failures imposing costs exceeding $2 trillion annually on the global software sector. Meeting the growing need for rapid, dependable software requires a fundamental transformation in quality assurance strategy.
IgniteTech is spearheading this transformation by embedding GenAI capabilities throughout the QA lifecycle. We leverage artificial intelligence to replicate user interactions, produce intricate test scenarios, and examine defect patterns, enabling us to accelerate delivery while reducing bug counts. Joining our team positions you at the cutting edge of this innovation, where AI is applied to remove bottlenecks and anticipate issues before they materialize.
This is not a conventional QA role. If your expectation is a traditional setting focused on manual test case execution or routine automation scripting, you will not find that here. In this position, you will take ownership of designing and advancing AI-powered test automation architectures, apply predictive analytics to surface latent risks, and influence the trajectory of software quality practices. You will serve as the architect of adaptive, scalable solutions that address the demands of contemporary development environments—not as a participant in an inflexible, obsolete workflow. If this aligns with the challenge you have been seeking, submit your application now to contribute to the evolution 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 solutions to evaluate testing results, detect defect patterns, and deliver actionable recommendations for ongoing enhancement
- Model user behaviors, stress scenarios, and boundary conditions to detect potential failures before they affect end users
Key responsibilities
- Leverage AI and automation technologies to accelerate product delivery 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)
- At least 2 years of experience in a QA automation role
- 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
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.
Cognitive aptitude test.
Prove real-world job skills.
Interview with the hiring manager.
Accept job offer.
Pass proctored test.
Frequently asked questions
Reviews
Meet some people who've landed similar jobs
Recruitment sucks. So we’re fixing it.
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
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
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.
Join the world's largest community of 
AI-first remote workers.