Senior Quality Assurance Automation Engineer
Crypto.com
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Overview
Join Crypto.com as a Senior QA Automation Engineer to enhance the quality of our testing pipeline using AI technologies. Work remotely and collaborate with a talented team to build next-gen test automation systems. Founded in 2016, Crypto.com serves more than 150 million customers and is the world's fastest growing global cryptocurrency platform. Our vision is simple: Cryptocurrency in Every Wallet™. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem.
What you'll do
- •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.
Conditions
- •Competitive salary
- •Attractive annual leave entitlement including: birthday, work anniversary
- •Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up
- •Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope.
- •Work Perks: crypto.com visa card provided upon joining
- •Our Crypto.com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team.
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)
- •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.
- •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.