Job Title: Quality Assurance Developer
đź“Ť Location: Remote (India-based preferred)
đź’Ľ Department: Product Engineering / Quality Assurance
đź•’ Employment Type: Full-time (Independent Contractor)
Job Overview
Trilogy is redefining quality assurance by leveraging AI-driven automation and generative technologies. As a Quality Assurance Developer, you won’t just follow the standard QA playbook—you’ll be creating the playbook of the future. This role is ideal for innovators who want to build intelligent testing systems that learn, adapt, and evolve.
We’re not looking for someone to simply find bugs. We're looking for a developer who can architect smart systems that prevent them, using AI to simulate complex user behaviors, execute dynamic stress scenarios, and analyze defect trends. You’ll be deeply embedded in our product development lifecycle—contributing directly to release quality and product evolution.
Join our elite, remote-first team of technologists working at the intersection of software engineering and artificial intelligence.
Key Responsibilities
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Build and evolve AI-powered test automation frameworks that scale with product growth
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Design generative AI models to simulate real-world, edge-case, and stress user scenarios
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Analyze QA data using AI tools to discover defect patterns and provide actionable insights
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Collaborate directly with developers to influence code quality and testing standards
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Drive continuous improvement in test architecture and strategy across multiple products
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Integrate intelligent monitoring systems to ensure release readiness at every stage
Ideal Candidate Profile
Must-Have:
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Minimum 2 years of experience in QA engineering, focused on automation frameworks
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Proven experience working with generative AI tools in software testing or development
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Strong programming skills (preferably in Python, Java, or similar)
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Deep understanding of QA processes, CI/CD pipelines, and modern testing tools
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Ability to think abstractly and simulate complex user behaviors or systems under load
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Excellent analytical and communication skills
Nice-to-Have:
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Experience building custom AI models or using LLMs for software testing
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Exposure to intelligent failure analysis or real-time code coverage tools
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Familiarity with cloud-based environments and distributed test infrastructures
What You’ll Gain
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Work on cutting-edge AI automation projects at a globally recognized tech innovator
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Be part of a high-performance, fully remote team with global talent
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Opportunity to shape the next generation of software quality assurance
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A fast-paced environment that values ownership, creativity, and technical leadership
About Trilogy
Trilogy is a global software powerhouse that acquires and transforms software businesses through a unique AI-first strategy. For over three decades, we’ve championed innovation, simplicity, and elite talent. Our platform powers hundreds of software companies, and our work culture is built on radical efficiency, transparency, and continuous growth. With a distributed team of the top 1% of global talent via Crossover, Trilogy leads the charge in building intelligent, high-performance software operations.
🚀 Ready to help us redefine QA through the power of AI? Apply today to start building the future of intelligent software testing.
📧 For more information, visit: www.crossover.com
- Company Name: Trilogy
- Average Salary Offered (for Current Role):10-20 LPA
- Must-have skills (in bullet points):
- Minimum 2 years of professional experience in quality assurance engineering with expertise in designing and implementing test automation frameworks
- Practical experience implementing or developing with generative AI tools in either development or quality assurance contexts
- Knowledge of AI-driven test automation frameworks and their scalability
- Ability to leverage generative AI technologies for test result analysis, defect pattern identification, and quality improvement recommendations
- Experience in creating AI models capable of simulating complex user behaviors, stress conditions, and edge cases for proactive vulnerability identification
- How to prepare for the Interview?
- Brush up on your knowledge of test automation frameworks, generative AI tools, and their applications in quality assurance
- Be prepared to discuss your experience in designing and implementing test automation frameworks and how you leveraged AI/generative AI tools
- Familiarize yourself with the latest trends and advancements in AI-powered quality assurance and testing
- Prepare examples of how you have used AI/generative AI tools to improve testing processes, identify defects, or simulate complex scenarios
- Understand the company's vision for AI-driven quality assurance and be ready to share your ideas on how to contribute to that vision
- How to prepare the resume for this job description?
- Highlight your experience in quality assurance engineering, test automation framework design, and implementation
- Emphasize any projects or initiatives where you have used generative AI tools or AI-powered testing techniques
- Showcase your technical depth in automation frameworks and your analytical approach to code quality
- Demonstrate your ability to think innovatively and your comfort with rapid iteration
- Highlight any achievements or success stories related to improving testing processes, identifying defects, or ensuring exceptional product quality
- Links to prepare for the interview:
Remember, this role requires a combination of quality assurance expertise, automation framework knowledge, and a strong understanding of generative AI tools and their applications in testing. Prepare accordingly, and best of luck!