福里斯信息技术

We are a team to design, develop, maintain, and improve software for various ventures projects, i.e., projects that are adjacent to our core businesses and are bootstrapped fast with a lean team. You will be actively involved in the design of various components behind scalable applications, from frontend UI to backend infrastructure. Job Summary The Senior QA Engineer is responsible for designing, developing, and executing comprehensive test plans to ensure the quality and reliability of software products. This role requires deep technical expertise, strong analytical skills, and a proactive approach to identifying defects and improving test processes. The Senior QA Engineer will collaborate with development, product, and operations teams to drive quality assurance best practices and support continuous integration and delivery. Key Responsibilities Design, develop, and execute detailed test cases, test scripts, and automation frameworks for functional, and regression testing. Lead testing efforts for complex features and critical product components, ensuring high reliability and performance. Collaborate closely with developers and product managers to define clear quality criteria and testing requirements. Analyze requirements, user stories, and technical specifications to create effective test strategies and plans. Identify, report, and track defects using test management tools, advocating for timely resolution with the development team. Develop and maintain automated test scripts and frameworks to improve testing efficiency and coverage. Mentor junior QA engineers and contribute to knowledge sharing and process improvements within the QA team. Stay updated on emerging QA technologies, tools, and trends, incorporating best practices into testing processes. Communicate test results, risks, and quality status clearly to stakeholders. Required Qualifications Proven experience (4+ years) in software quality assurance, with significant exposure to multiple testing methodologies. Strong expertise in test automation tools and scripting languages (e.g., Selenium, Appium, JMeter, Python, Java). Experience with API testing (REST, WebSocket) and understanding of blockchain or fintech environments is a plus. Solid knowledge of agile development processes, CI/CD workflows. Strong verbal and written communication skills in English. Proven ability to thrive in an English-speaking, collaborative work environment.

About the Role 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 our Main App. Responsibilities: • 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. Requirement: 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, DeepSeek) 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.

We are a team to design, develop, maintain, and improve software for various ventures projects, i.e., projects that are adjacent to our core businesses and are bootstrapped fast with a lean team. You will be actively involved in the design of various components behind scalable applications, from frontend UI to backend infrastructure. As a Senior Devops Engineer, you will be involved a number of technically challenging problems, oversees design and coding for features. This position will be working very closely in multiple function of the organization. You will be involving every aspect of the product development process, from brainstorming the next great product innovation to tweaking pixels right before launch. Responsibilities Develop tools for application and performance monitoring Contribute to system architecture design Develop and deploy cloud infrastructure in IaC manner. Improve and manage Terraform, K8S and CI/CD pipeline. Design and implement Disaster Recovery & backup solution, Automate and streamline operations and processes. Communicate, escalate and follow up as appropriate to ensure that problems are solved Requirements Fluency in speaking English and ability to collaborate in a global working environment Solid experience in AWS, Terraform, Kubernetes is a must Experience in building CICD pipelines of a large scale enterprise application Experience in monitoring systems like Prometheus, Grafana, etc. Experience in logging systems like Fluentbit, ElasticSearch/ OpenSearch, etc. Experience in maintaining high-availability and low-latency crypto exchange is a plus Experience in Linux and Network Concepts Experience in GitOps with ArgoCD is a plus 4+ years experience in DevOps & AWS Ability to code. You are expected to write some maintainable code. A strong interest in working in technology and/or financial environments Excellent communication and interpersonal skills to engage both technical and non-technical stakeholders