What are the responsibilities and job description for the QA Lead position at Prism IT Global?
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. |