• Design risk-based test strategies for new features and releases, then rapidly convert those strategies into automated coverage using AI-assisted development workflows • Use Claude Code within VS Code or equivalent AI coding agents as your primary development environment to generate, scale, and maintain automated test coverage • Build and maintain automated test suites using Playwright, integrated within GitHub CI/CD pipelines, ensuring quality gates are embedded throughout the software development lifecycle • Design and implement agentic testing workflows that generate, adapt, and maintain automated tests using AI models and APIs • Build reusable frameworks, utilities, shared libraries, and AI-powered tools that increase test authoring velocity across engineering teams • Partner closely with engineers, product managers, and designers to shift quality left, influencing requirements, design decisions, observability, and deployment strategies • Continuously improve test suite health by reducing flakiness, increasing execution speed, and ensuring reliable quality signals for every release • Drive quality upstream by identifying risks early and implementing preventative quality practices • Own and improve quality metrics including automated coverage growth, escaped defects, test execution performance, flakiness rates, and release confidence • Enable developers to write, execute, and maintain automated tests as part of their daily workflow

• Collaborate with Development, Product Management, and UX teams to define and understand quality requirements for AI-powered applications. • Analyze product requirements, user stories, and technical designs to create comprehensive test strategies, test plans, and test cases. • Validate AI-driven features such as AI Agents, Agent Assist, Supervisor Assist, knowledge-based experiences, and other AI-powered applications. • Design, develop, and maintain automated test frameworks and automated test suites for frontend, backend, and API testing. • Own and execute existing automation suites, investigate failures, identify defects, and drive issues to resolution. • Develop new automated tests and contribute to the continuous improvement of the team’s automation infrastructure. • Perform manual exploratory, functional, regression, integration, and end-to-end testing as needed. • Collaborate with developers to identify root causes of issues and improve overall product quality. • Review automation code and provide technical guidance to other QA engineers. • Participate actively in Agile ceremonies, sprint planning, backlog refinement, and release activities. • Document, report, and track software defects using Jira and other engineering tools. • Help improve QA processes, testing methodologies, and quality standards across the AI Apps organization.

• Design and execute QA test plans aligned with team standards. • Collaborate with the Scrum Master, Business Analyst (BA), and Technical Architect (TA) to clarify requirements, resolve issues promptly, and recommend improvements where appropriate. • Participate in debugging and defect triage activities. • Develop, implement, and document manual and AI agent-enabled functional and regression tests. • Manage and prioritize tasks to meet project timelines. • Support and recommend testing strategies in collaboration with the QA Lead. • Independently deliver small projects with minimal guidance. • Ensure release quality through Test-Driven Development (TDD) practices and test coverage reviews. • Participate in Root Cause Analysis (RCA) investigations and drive continuous improvements. • Contribute to broader team goals and departmental priorities. • Recommend and implement process improvements, particularly in the adoption and use of AI within QA practices. • Perform other duties and responsibilities as assigned.

• Test complex fintech and crypto workflows, including transactions, card operations, swaps, KYC flows, asset transfers, and fiat on/off-ramps. • Own quality hands-on: test new features yourself across mobile (iOS/Android), backend services, and back-office tools. • Participate in feature design and delivery, identifying risks and quality considerations early in the development lifecycle. • Investigate production issues, reproduce defects, and ensure root causes are addressed. • Collaborate with developers on automated testing strategy and coverage. • Design comprehensive test scenarios and acceptance criteria. • Review automated test implementations to ensure meaningful coverage of business-critical functionality. • Set the QA bar across the team by building out templates, checklists, and bug-reporting standards, while tracking key metrics (defect rate, escape rate, CFR/LT) and translating them into actionable reports. • Keep production rock solid — overseeing monitoring across Sentry, Firebase, and Grafana, leading incident response and post-mortems, and digging into root causes to strengthen the system over time. • Contribute to a quality-first engineering culture where testing is embedded into the development process. • Support incident investigations, post-mortems, and continuous reliability improvements. • Monitor product health using observability and analytics tools. • Influence product and engineering decisions through data, technical analysis, and risk assessment. • Help teams balance delivery speed with product reliability and customer trust.