Senior SWQA Test Development Engineer

Requirements:

• BS or higher degree or equivalent experience in CS/EE/CE plus equivalent with 5+ years QA experience;
• Proficient with web-based UI and RESTful APIs validation via code as well as Unix/Linux and Shell/Python programming skills;
• Rich experience in test cases development and failure root cause analysis;
• Good command of Cloud management systems and Kubernetes / Docker / Podman;
• Experience with building and handling CI/CD pipelines;
• Hands-on experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, or integration into QA workflows;
• Fine-tuning or training models for QA-specific tasks – adapting LLMs or other models specifically for testing, documentation analysis, or requirement validation;
• Good QA sense, including attention to detail, problem-solving, data analysis, quality standards knowledge, time management etc.;
• Excellent communicator, fluent written and verbal English;
• Good teamwork skills with the ability to work independently; passion to learn new technologies.

Ways to stand out from the crowd:

• Experience building AI systems such as RAG (Retrieval-Augmented Generation) pipelines, MRC (Machine Reading Comprehension) solutions, or AI agents;
• Building AI-powered test generation tools – using LLMs to automatically generate test cases, edge cases, or synthetic test data;
• Experience working with NVIDIA GPU hardware is a strong plus;
• Scalability or performance testing knowledge is a plus;
• Experience with data analysis and system monitoring across distributed systems.

What you’ll be doing:

• Review product requirements and develop test matrix;
• Build testing-related documentation, including test plans, test approach, test cases, and bug reports assessing quality and associated risks;
• Manage bug lifecycle and co-work with inter-groups to work towards solutions;
• Automate manual tests and assist in the architecture, crafting and implementing test frameworks.
• Enhance the existing testing frameworks used in the organization by our engineers, including yourself, for areas such as UIs, REST APIs, process automation, and performance validation;
• Build a reliable fast feedback loop by integrating automation testing in CI and discovery pipelines.