• Crafting comprehensive test plans and detailed test cases that cover functional requirements, edge cases, and "negative" testing scenarios • Using Wireshark to perform deep packet inspection (DPI), to ensure the system is responding to traffic as expected • Creating synthetic network traffic and "noise" to trigger different system behaviours • Running end-to-end regression suites during every release cycle to ensure that new feature updates do not break existing monitoring or alerting logic • Identifying, logging, and tracking software defects, then collaborating closely with developers to reproduce complex network-based race conditions

• Architect and scale full-stack automation frameworks (Java/Kotlin) across CRM, BSS, and OSS stacks. • Drive E2E validation for UI, API, and backend layers to ensure seamless CI/CD integration and zero-defect delivery. • Pioneer testing strategies for Generative AI and LLMs. • Develop rigorous frameworks to mitigate hallucinations, bias, and toxicity, using advanced prompt engineering to align model outputs with business safety standards. • Act as the primary technical authority for field escalations. • Conduct deep-dive root-cause analysis on production issues and distill complex technical findings into actionable insights for executive stakeholders. • Architect and execute end-to-end test strategies across the GFiber software ecosystem, ensuring rigorous quality standards throughout the entire SDLC. • Orchestrate complex integration testing for critical business systems, including CRMs (Salesforce), OSS, Billing, and Provisioning, to ensure zero-defect transitions across the customer lifecycle. • Design specialized QA frameworks for Generative AI and LLMs, utilizing advanced prompt engineering and evaluation metrics to mitigate hallucinations, bias, and toxicity while ensuring alignment with core business logic.

• Design, develop, and maintain scalable automated test frameworks using Python and TypeScript (Playwright) • Build and execute end-to-end, API, integration, and regression test suites • Lead performance, load, stress, scalability testing, and chaos engineering across high-availability telecom platforms • Validate real-time communication systems and event-driven architectures • Test and verify cloud-native applications deployed within AWS environments • Ensure systems meet performance, resilience, scalability, and availability standards • Integrate automated testing into CI/CD pipelines to enable continuous delivery • Collaborate with Engineering, DevOps, and Product teams within Agile ceremonies • Identify performance bottlenecks, architectural risks, and quality gaps early • Contribute to the continuous improvement of QA processes and engineering standards

• Contribute to the quality of Forms, Surveys, Quizzes, QR Codes & External Tracking modules through effective manual testing and reliable automation coverage • Design and execute functional, regression, and exploratory test cases for end-to-end scenarios across web and mobile experiences • Validate real-world use cases including conditional logic, field behaviors, submission flows, multi-step surveys, and integrations with other HighLevel products • Build and maintain UI and API automation suites using Playwright as the primary automation framework • Collaborate with senior SDETs and developers to improve automation efficiency, stability, and overall coverage • Ensure automation suites remain up to date and aligned with evolving product architecture • Work closely with product managers, UX designers, backend and frontend engineers to understand requirements, workflows, and edge cases • Participate in sprint planning, bug triages, release readiness reviews, and cross-functional QA initiatives • Provide clear, data-backed QA insights that help influence product quality decisions • Identify quality gaps and recommend improvements to workflows, automation processes, test case design, and regression cycles • Contribute to internal QA best practices and maintain testing documentation • Support integration testing with APIs and ensure strong coverage for cross-team functionalities • Use basic AI tools (e.g., LLM-assisted reviews, AI-supported test case generation, pattern analysis) to streamline test design and validation efforts • Understand how AI-driven features impact Forms & Surveys behavior and incorporate them into test strategies