Senior Quality Assurance Automation Engineer

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 workspace

Requirements

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.