
Senior Quality Assurance Automation Engineer
Job Description
We are seeking a Senior QA Automation Engineer who combines deep expertise in mobile and API test automation with hands-on experience leveraging AI/LLM technologies to accelerate quality engineering. You will play a key role in building next-generation, AI-powered test automation systems that elevate the quality, efficiency, and intelligence of our testing pipeline for the Crypto.com App.
Responsibility
• Design, develop and execute test plans and test cases with a strong emphasis on automation to shorten the test cycle and solve technical challenges through code.
• Develop, maintain and continuously improve test frameworks, tools and technologies — including AI-augmented test generation, intelligent test selection, and automated result analysis.
• Build and integrate AI-powered capabilities into our QA pipeline, such as LLM-based test case generation, smart deduplication, log/error analysis, and self-healing test scripts.
• Work with Development, Product Management and other QA engineers to design and implement effective test and validation strategies for new features.
• Estimate test efforts, analyze and communicate test results, and participate in day-to-day QA activities including defect triage and metrics reporting.
• Create, execute and troubleshoot automated test scenarios across mobile, REST and WebSocket APIs.
• Contribute to robust, scalable and high-quality test automation solutions for functional, regression and performance testing.
• Contribute to the building and maintenance of CI/CD environments and ongoing process improvement activities.
• Identify improvements in test and development processes; explore and prototype emerging AI tooling (LLM agents, embedding-based search, RAG pipelines) to address QA-specific needs.
• Mentor junior QA engineers and act as a technical reference within the team on automation best practices and AI-assisted testing.
• Maintain a high quality bar in a complex and constantly evolving workspaceRequirements
Core QA Automation (Must-have)
• 5+ years of experience in mobile testing and automated test techniques, with a strong focus on quality throughout the entire software development cycle.
• Solid experience in REST and WebSocket API automation testing with Python / Java / JS.
• Hands-on experience with frameworks such as Pytest, Pytest-bdd, Appium, Selenium, Playwright, Cucumber, etc.
• Strong knowledge of object-oriented programming with solid coding and debugging skills.
• Strong design and development skills in Python / Java / JS.
• Good understanding of software design principles, patterns, algorithms, data structures and multi-threading concepts.
• Proven ability to translate functional requirements and use cases into working test plans and test cases.
• Working knowledge of Continuous Integration practices with Jenkins or GitHub Actions.
• Demonstrated skill in using coding standards and being an active participant in code reviews.
• Proficient English communication skills to adapt to a globalized work team.
AI / LLM Experience (Preferred — exposure or hands-on experience expected, deep specialization not required)
• Practical experience integrating heterogeneous LLM APIs (e.g., OpenAI, Anthropic) into engineering workflows or test tooling.
• Familiarity with prompt engineering and structured output parsing (e.g., Pydantic, Instructor) — including basic self-correction / retry mechanisms to ensure stable LLM outputs.
• Exposure to RAG pipelines and embedding-based retrieval, including using similarity (e.g., > 0.95 cosine similarity) for test case deduplication or recall.
• Working knowledge of at least one vector database (e.g., Milvus, Pinecone, Chroma, Weaviate).
• Hands-on experience with AI coding tools (e.g., Cursor, Windsurf, Claude Code, Copilot) and a habit of leveraging them to maximize delivery efficiency ("Vibe Coding" / AI-native mindset).
• Basic understanding of AI Agent concepts — ReAct, Memory, Tool Calling — and any experience designing or maintaining agent-based systems is a strong plus.
• Bonus: awareness of next-generation agent frameworks (e.g., LangGraph, multi-agent orchestration, Hermes Agent, OpenClaw) or interest in applying them to QA automation.
Nice to Have
• Experience working in an agile environment.
• Ability to work across Windows, Linux and macOS environments.
• Prior experience in fintech, crypto, or trading platforms.
• Passion for improving code quality through close collaboration with the development team.
Additional Information
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Job Details
- DepartmentTech / Engineering
- Work ModeHybrid
- LocationHong Kong, Hong Kong SAR
- Employment TypeFull-time
- LevelStaff
- CountryHong Kong
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