• Shape and lead automation strategy: Define and implement scalable automation practices aligned with the overall test strategy for an android application • Build and maintain test automation: Develop and maintain automated tests targeting backend logic, APIs, and database interactions, with a focus on data consistency and early defect identification. • Optimize frameworks and execution: Enhance automation frameworks for performance and manage Selenium Grid and parallel execution for faster test cycles. • Integrate with CI/CD: Embed automated tests into CI/CD pipelines to ensure continuous quality and faster feedback loops. • Collaborate across teams: Work closely with QA, developers, product teams, and stakeholders to resolve defects and align testing with business goals. • Mentor and support: Guide junior and mid-level QA engineers, participate in code reviews, and share best practices to promote learning and consistency. • Report and improve: Generate test metrics, analyze results, and contribute to ongoing improvements in quality processes and tools.

• Design, develop, and maintain automated UI and end-to-end tests using Playwright • Write reliable, maintainable test code • Perform API testing • Design and maintain test frameworks • Report defects and track automation coverage

• Own end-to-end test automation across SOAP and REST APIs and web UI. • Design and implement robust test suites using Playwright and SoapUI. • Integrate automated tests into CI/CD pipelines. • Leverage AI tools to accelerate test design and improve test stability. • Triages and resolves automation failures quickly. • Establish quality signals and dashboards and communicate risks clearly.

• You develop our AI-driven marketing and sales infrastructure. • Build and enhance AI agents (Claude Code, OpenAI, MCP) • Create skills and projects for AI agents • Develop and continuously optimize complex n8n workflows • API integrations (SEO tools, CRM, analytics, data APIs) • Automation of SEO, content, and research processes • Development of scalable AI marketing systems for marketing and sales • Documentation of processes (Markdown, YAML, run logs, system documents) • Systematization instead of tool-hopping • You don't build campaigns. You build the machine that makes campaigns more efficient.