End-to-End Testing Ownership: Perform and oversee all testing activities independently: test estimation, test planning, test strategy, test case design, test execution, and defect tracking.
Process Engineering: Define, tailor, and implement software testing processes that can be seamlessly applied jointly across our internal team.
QA Delivery & Optimization: Show creativity and initiative to expand test coverage, improve effectiveness, and provide actionable recommendations for QA deliverables.
Metrics & Reporting: Set up testing toolsets, establish QA metrics, collect data, and deliver comprehensive testing status reports to stakeholders
Automation Maintenance: Understand, maintain, and utilize existing automation frameworks to automate new test cases (focused on UI and API testing using JavaScript).
Team Leadership & Mentorship: Lead, mentor, and train other QA team members to elevate their testing capabilities.
Qualifications
General requirements:
At least an upper-intermediate level of English
Likely having 7+ years of experience in the software development, especially the software testing processes
Familiar with Agile development methodologies
Experience with managing testing team & working with US clients
Experience with defining/tailoring software testing process which can jointly be applied for the testing team & client's teams
Good human relation skills, ability to collaborate effectively across departments and teams
Technical requirements
Strong domain knowledge on web/ mobile/ desktop app testing expertise
Strong experiences on Manual testing (requirement analysis, test strategy, test approach, test plan, test techniques included black box, risk-based, exploratory, Non-UI testing, etc.)
Experience on Automation testing, UI/API testing (JavaScript)
Excellent knowledge of software testing methodology, solid knowledge and experience applying Context Driven Testing is a big plus
Hands-on experience on setting up testing toolset and metrics
Nice to have:
Proficient daily use of AI coding tools (Copilot, Cursor, Claude Code) across the full SDLC
Able to decompose complex tasks, provide effective context, and apply chain-of-thought and multi-step prompting workflows
Experience with agentic workflows and AI-driven development frameworks
Hands-on experience integrating AI tools with other systems via MCP (Model Context Protocol) or equivalent
Awareness of emerging AI tools and willingness to evaluate and adopt new capabilities
