Quantum — вакансии

Quantum is expanding the team and has brilliant opportunities for a Senior Automation QA Engineer. The client is a technological research company that utilizes proprietary AI-based analysis and language models to provide comprehensive insights into global stocks in all languages. Our mission is to bridge the knowledge gap in the investment world and empower investors of all types to become “super-investors.”
Through our generative AI technology implemented into brokerage platforms and other financial institutions’ infrastructures, we offer instant fundamental analyses of global stocks alongside bespoke investment strategies, enabling informed investment decisions for millions of investors worldwide.

Must have skills:

• 5+ years in automation testing for backend systems and APIs
• Strong Python skills for writing test scripts and frameworks
• Experience in UI automation - Python and Playwright or Selenium
• Hands-on experience with Jenkins or similar CI/CD tools
• Experience in building Automation framework from scratch
• SQL basic knowledge (Select, Join, Where operators, for making data validation)
• Proficient with cloud platforms (AWS, GCP, or Azure)
• Experience with DynamoDB, AWS Athena
• Skilled in testing REST APIs and asynchronous services
• Experience with performance and load testing, testing of solution with high load
• Solid knowledge of QA methodologies, test design, and SDLC
• Experience testing data projects and data science pipelines
• Experience validating data quality, data transformations, and ML model outputs
• At least an Upper-Intermediate level of English (spoken and written)

Would be a plus:

• Background in financial systems, investment platforms, or fintech is a plus
• Experience with Docker and Kubernetes
• Experience with Jira as a task management tool
• Work and integration with X-RAY as a test management tool (Jira plugin)

Your tasks will include:

• Develop and maintain automated test scripts and frameworks for backend systems and APIs, using Python
• Design and execute automated tests for REST APIs and asynchronous services to ensure system reliability and accuracy
• Perform performance and load testing to validate system behavior under high-load conditions
• Collaborate with DevOps teams to integrate automated tests within CI/CD pipelines using Jenkins or similar tools
• Test and validate cloud-based solutions across platforms such as AWS, GCP, or Azure
• Conduct end-to-end testing of data projects and data science pipelines, including verification of data quality, data transformations, and ML model outputs
• Apply a strong understanding of QA methodologies and the software development lifecycle (SDLC) to design comprehensive test strategies
• Create and maintain detailed QA documentation, including test plans, test cases, test coverage reports, release checklists, and known issue logs
• Ensure all QA deliverables are well-documented, current, and accessible
• Collaborate closely with cross-functional teams to ensure thorough test coverage and timely resolution of issues