Full Description

The software sector continues to struggle with prolonged release timelines and defect-heavy products, primarily because of legacy testing approaches. Conventional QA methodologies, including those employing rudimentary automation, often miss critical defects until it's too late, resulting in expensive setbacks and dissatisfied end users. Industry data reveals that more than 60% of software defects surface after release, and quality-related issues impose costs exceeding $2 trillion annually on the global software industry. Meeting the need for quicker, more dependable software requires a fundamental transformation in quality assurance strategy.

IgniteTech is spearheading this transformation by embedding GenAI capabilities throughout the entire QA lifecycle. Through AI-powered simulation of user interactions, generation of sophisticated test scenarios, and analysis of defect patterns, we achieve accelerated delivery with reduced bug counts. By joining our team, you position yourself at the cutting edge of this evolution, leveraging AI to remove bottlenecks and anticipate issues before they materialize.

This is not a conventional QA role. If you seek a traditional setting focused on manual test runs or repetitive scripted automation, look elsewhere. In this position, you will take ownership of building and advancing AI-powered test automation platforms, apply predictive analytics to surface latent risks, and contribute directly to redefining software quality standards. You will serve as the designer of adaptive, scalable solutions suited to the demands of contemporary development—not simply another participant in an inflexible, legacy workflow. If this resonates with the challenge you've been seeking, submit your application and help define the next chapter of software development.

What You Will Be Doing

Build and sustain AI-driven test automation frameworks that produce test cases, automation scripts, and validation data for thorough coverage Leverage GenAI platforms to evaluate test results, detect defect patterns, and deliver actionable recommendations for ongoing enhancement Model user interactions, load scenarios, and boundary conditions to detect potential failures before they reach production

Senior Software Quality Assurance Engineer Key Responsibilities

Apply AI and automation technologies to accelerate product delivery and minimize defect rates

Basic 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