Software Quality Assurance 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
Are you ready to revolutionize software quality assurance? At IgniteTech, we're not just testing software—we're redefining the entire QA paradigm with cutting-edge AI integration. If you're a forward-thinking QA engineer eager to harness the power of artificial intelligence to crush bugs before they even materialize, this is your calling.
We're seeking a Software Quality Assurance Engineer who's prepared to leave manual testing in the dust and embrace a future where AI and automation reign supreme. This isn't just a job—it's an opportunity to be at the forefront of a seismic shift in how we ensure software quality.
As part of our elite QA team, you'll wield AI tools to generate smarter test cases, automate the mundane, and uncover hidden patterns in defects. You'll work alongside top-tier developers and product visionaries, contributing directly to lightning-fast product releases and unparalleled software quality.
What you will be doing
- Architect and implement AI-powered test automation frameworks that generate comprehensive test suites with minimal human intervention
- Leverage cutting-edge GenAI tools to analyze test outcomes, predict potential issues, and provide data-driven insights for continuous improvement
- Design and execute complex simulations that push our software to its limits, uncovering edge cases before they impact our users
- Collaborate with cross-functional teams to integrate AI-driven QA processes seamlessly into our development pipeline
- Stay at the forefront of AI and automation technologies, constantly evolving our QA strategies to maintain our competitive edge
What you will NOT be doing
- Performing repetitive manual testing tasks that can be automated
- Writing test cases without leveraging AI assistance
- Waiting for bugs to be reported by users or stakeholders
- Relying solely on traditional QA methodologies without embracing AI-driven innovations
Key responsibilities
Drive the integration of AI and automation in our QA processes to dramatically reduce time-to-market and eliminate critical defects, ensuring our software sets new industry standards for quality and reliability.
Candidate requirements
- Demonstrated AI-First Mindset: You instinctively turn to AI tools as your first step in problem-solving and code generation
- Minimum 1 year of hands-on experience in a QA automation role
- Mastery of Selenium and proficiency in Python, Java, or JavaScript
- Proven track record of leveraging AI tools to enhance QA workflows and outcomes
- Strong familiarity with CI/CD platforms such as Jenkins or GitHub Actions
- Insatiable curiosity and eagerness to learn and apply new AI technologies in QA
How it works
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.
STEP 1
Pass Cognitive Aptitude Test.
STEP 2
Pass English Proficiency Test.
STEP 3
Prove Real-World Job & AI Skills.
STEP 4
Ace An Interview Or Two.
STEP 5
Accept Job Offer.
Frequently asked questions
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Why Crossover
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.
