Overview
Skills
Job Details
Role Summary
The QA Test Lead is responsible for defining and driving the overall Quality Engineering strategy for one or more product domains. This role leads a team of SDETs and QE engineers, ensuring high-quality releases across web, mobile, and API channels, with strong emphasis on automation, shift-left practices, and adoption of AI-enabled quality engineering capabilities.
Skills Required Leadership, Web UI, API and AI
| Qualifications / Skillset Requirements | Roles & Responsibilities |
| Experience & Leadership | Quality Strategy & Planning |
| 8 10 years of experience in Quality Engineering / Software Testing, with at least 3 4 years in a lead role. | Own end-to-end QA strategy and test planning for assigned product/domain, covering functional, regression, integration, non-functional, and UAT testing. |
| Proven experience leading distributed QA/SDET teams in Agile/Scrum environments. | Define and maintain test approaches, risk-based coverage, and entry/exit criteria for each release and environment. |
| Strong background as a hands-on SDET / Automation Lead (web, mobile, API). | Embed QA activities into backlog refinement, sprint planning, and development workflows (shift-left). |
| Align test scope with product priorities and release timelines in collaboration with Product and Engineering. | |
| Technical & Tooling Skills | Automation, Tooling & CI/CD |
| Strong understanding of test automation across UI (web and mobile) and API layers. | Ensure high-value scenarios are automated and integrated into CI/CD pipelines for fast feedback. |
| Proficiency with at least one programming language (Java or Python preferred) and experience working with modern automation frameworks (Selenium/Appium/Rest Assured or equivalents). | Review and approve framework design decisions, code quality, and reusability of automation assets. |
| Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions), version control (Git), and test execution on grids/device farms. | Collaborate with DevOps to define and maintain test environments, smoke suites, and regression packs. |
| Familiarity with API testing, JSON/XML payloads, and microservices-based architectures. | Drive continuous improvement of automation suites-stability, performance, coverage, and execution time. |
| AI & Advanced QE | AI-Enabled Quality Engineering |
| Advanced GenAI/AI engineering expertise, including: Experience with RAG (Retrieval-Augmented Generation) architectures. Understanding of AI-based applications and agentic AI workflows. Strong Python programming skills and familiarity with libraries like LangChain and related ecosystems. Experience designing or using QE accelerators and AI-assisted test tools. | Define and own the roadmap for AI adoption in Quality Engineering: RAG-based testing utilities, agentic AI workflows, and AI-driven analytics. |
| Ability to evaluate AI/QE accelerators and integrate them into existing QA processes and frameworks. | Guide the team on safe and effective use of AI for test design, test data generation, log/defect analysis, and root cause analysis. |
| Ability to mentor other team members in consuming AI toolchains and interpreting AI outputs. | Partner with architecture and platform teams to ensure AI-based testing utilities are robust, observable, and governed. |
| Process, Governance & Collaboration | Team Management & Stakeholder Communication |
| Strong knowledge of Agile/Scrum, DevOps practices, and continuous testing. | Lead and mentor SDETs and QE Engineers; perform workload distribution, coaching, and performance feedback. |
| Experience with test management and defect tracking tools (e.g., Jira, XRay or similar, Confluence). | Conduct regular reviews of test scenarios, automation scripts, and test reports to maintain high standards. |
| Solid understanding of metrics and KPIs for quality (defect density, leakage, automation coverage, cycle time, etc.). | Establish and publish QA dashboards; communicate quality status, risks, and mitigation plans to stakeholders. |
| Excellent verbal and written communication; able to work effectively with product owners, architects, developers, DevOps, and business stakeholders. | Facilitate defect triage and Root Cause Analysis sessions; ensure corrective and preventive actions are implemented and tracked. |
| Domain & Compliance (Preferred) | Continuous Improvement |
| Experience testing large-scale web/mobile platforms; experience in regulated or data-sensitive domains is an advantage. | Drive process improvements, best practices, and standardization across squads (test design, automation, AI usage, documentation). |
| Understanding of security, privacy, and compliance considerations in testing (preferred). | Champion a culture of quality-first mindset, continuous learning, and AI-enabled innovation within the QA team. |