• Lead quality assurance initiatives across enterprise applications, integrations, and business-critical systems. • Design and oversee scalable automated testing solutions to improve efficiency, consistency, and long-term maintainability. • Collaborate with engineering, infrastructure, and business teams to ensure testing aligns with operational goals and project requirements. • Establish testing strategies and quality standards across functional, regression, integration, and performance testing efforts. • Drive continuous improvement initiatives related to automation, testing processes, defect management, and release readiness. • Develop reporting and quality metrics that provide visibility into testing progress, risks, and system stability. • Support implementation of modern QA practices, including AI-assisted testing tools and intelligent automation capabilities. • Participate in project planning, sprint activities, and release discussions to proactively identify quality risks and dependencies. • Provide mentorship and guidance to QA team members while promoting best practices across the organization. • Assist with compliance, audit readiness, and documentation efforts related to enterprise software deployments.

• Automation Strategy & Development: - Design, develop, and maintain scalable, robust, and efficient automated test suites using Playwright (TypeScript). - Debugging Playwright tests using trace files and logs. - Contribute significantly to the architecture and evolution of our automation frameworks. - Integrate automated tests into the CI/CD pipeline to support continuous testing. - Develop and execute test plans specifically for applications that incorporate Large Language Models (LLMs). • Defect Management: - Identify and communicate bugs found during regression or scheduled test executions. - Work closely with the supervisor to reproduce, debug, and resolve issues. • Quality Advocacy: - Act as a strong advocate for quality throughout the software development lifecycle. - Continuously seek to improve QA processes, tools, and methodologies. • Collaboration: - Participate in design reviews, sprint planning, and daily stand-ups. - Communicate test results, risks, and quality metrics to cross-functional teams and supervisors.

• Champion AI-first QA practices. Lead the rollout and continuous improvement of our AI Feature Testing process, where AI agents execute initial test passes and QA engineers review, validate, and extend coverage. • Review and validate AI-generated test results. Critically assess AI test outputs for accuracy, completeness, and false positives/negatives, applying your domain expertise and judgment to determine pass/fail outcomes. • Perform execution of manual test cases, targeted exploratory and edge-case testing. Focus human testing effort where it matters most: complex workflows, boundary conditions, integration points, and scenarios where AI coverage is insufficient. • Own QA strategy and execution for your squad, including test planning, risk assessment, and release readiness decisions. • Write and maintain automated tests in Playwright, following Page Object Model (POM) design patterns, and expand POM coverage to support a scalable, maintainable automation suite. • Leverage AI development tools (Claude, GitHub Copilot) as core parts of your workflow to generate test cases, write automation scripts, debug failures, and accelerate coverage growth. • Guide and train the QA team on effective AI tool usage, prompt engineering for testing, and the evolving QA review workflow. • Integrate automated tests into our Xray test management repository and maintain traceability between test cases, requirements, and defects. • Manage QA workflow in Jira. Logging and prioritizing bugs, classifying defect severity, and keeping test status current for the team. • Communicate quality status, risk, and AI testing adoption progress clearly to developers, product managers, and leadership stakeholders. • Partner with Customer Support in triaging complex application issues when needed.

• Design and implement automated functional health checks for DR and production environments using synthetic transactions and API validation. • Build continuous validation pipelines that verify end-to-end business workflows such as authentication, transactions, and system integrations. • Develop intelligent alerting mechanisms based on functional failures and customer-impacting behavior, not solely infrastructure metrics. • Integrate observability signals including logs, metrics, and traces with automated test frameworks to improve system visibility and diagnosis. • Develop AI/ML-driven approaches to detect failure patterns, correlate issues across services, and identify probable root causes. • Build systems that recommend or trigger automated remediation actions to support early-stage self-healing capabilities. • Partner cross-functionally with QA, SRE, and Engineering teams to improve service reliability, incident response, and recovery readiness. • Define, measure, and report on functional SLAs, service health indicators, and quality metrics. • Contribute to disaster recovery drills, readiness exercises, and automated validation efforts that improve resilience over time.