Lead Quality Assurance Engineer in Test

Company description Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaignu2019s Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the worldu2019s leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries. The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds. Overview Lead QA Engineer in Test Our advanced Technology capability delivers cutting-edge, high-impact digital products and campaigns. We bring strategic partnerships with the worldu2019s leading marketing and technology vendors that allow us to represent the top platforms and tools for our clients. Through collaboration with Strategy, Experience Design, Data Science, Project Management, and Account teams, our technologists are helping the worldu2019s leading brands transform the marketing landscape. Our Quality Assurance (QA) team keeps us technologically forward and on point. To help with this, we are looking for a Lead QA Engineer in Test u2014 someone who can lead our QA automation team forward, establishing structure and best-in-class growth. This role spans the full QA lifecycle and works closely with cross-functional teams to modernize efficiencies, implement best-in-class QA automation methodologies and tools, and drive quality at scale across complex digital ecosystems. The successful candidate is a hands-on QA leader with deep experience in automation development, strong programming skills, and a forward-looking mindset that includes AI-assisted testing, intelligent automation, and modern test orchestration frameworks. Role Overview From test planning and execution to technical risk management and process improvement, the Lead QA Engineer in Test supports complex digital projects that are defined, designed, and developed by Digitas and other Publicis agencies. As a Lead QA Engineer in Test, you will: + Lead QA automation activities across a range of digital initiatives + Define and evolve QA strategy, frameworks, and tooling + Oversee testing of web applications, APIs, and integrated platforms + Incorporate AI-driven testing approaches to improve coverage, speed, and defect detection + Build and grow automation capability while mentoring engineers across geographically distributed QA teams Key Responsibilities + Regularly interface with senior leadership and represent automation goals within the context of broader organizational objectives + Provide guidance to automation team members on adopting new tools, improving reliability, and scaling automation coverage + Lead the definition, execution, and maintenance of standardized automation QA processes, methodologies, and reporting + Design and implement robust automation frameworks using modern tools and best practices + Drive QA process improvements using industry best practices and emerging technologies + Stay current on digital technologies, testing trends, and AI-assisted QA techniques to support innovation and client demands + Represent the QA capability in cross-organizational meetings and client-facing discussions + Hire, train, and mentor QA engineers and automation resources + Lead and facilitate automation development across geographically distributed QA teams in fast-paced, agile environments Qualifications Weu2019re looking for strong, impactful work experience, which typically includes: Technical & Automation Expertise Automation & Programming + Framework Architecture: Design, implement, and maintain scalable test automation frameworks from scratch using Python or Node.js. (Must demonstrate understanding of Design Patterns, OOP, and modular code structure). + Playwright Expertise: Advanced implementation of Microsoft Playwright for: + Robust Cross-browser UI automation (handling flakes, dynamic waits, and authentication states). + Programmatic API Testing:Utilizing Playwrightu2019s APIRequestContext or libraries like requests/supertest to build integrated end-to-end workflows (UI + API). + API & Hybrid Testing: Designing tests that bypass UI for setup/teardown using direct API calls (optimizing execution time). + Network Interception: Experience mocking/stubbing network requests to isolate frontend components and test edge cases. + CI/CD & DevOps Integration: Ownership of the automation pipeline. Integrating tests into GitLab CI/Azure DevOps/Jenkins, managing Docker containers for execution, and setting up quality gates. + Strategy & Leadership: Define the testing strategy (Test Pyramid), deciding when to use API vs. UI testing to maximize ROI and stability. + Legacy/Migration Knowledge: Experience with Selenium or Cypress to understand migration paths and architectural differences. + Software Design Excellence: Proficient in Python or Node.js with a strong adherence to SOLID principles and Design Patterns (Page Object Model, Factory, Singleton, Strategy) to build maintainable and scalable automation frameworks. + Modern Frontend Awareness: Solid understanding of HTML, DOM manipulation, and CSS/XPath selectors. Familiarity with modern JS frameworks (React, Angular, Vue) to understand component lifecycles, shadow DOM, and optimize locator strategies (moving beyond fragile selectors). + Code Quality Standards: Ability to write clean, reusable, and self-documenting code. Experience conducting Code Reviews and enforcing coding standards within the QA team. + Concurrency & Parallel Execution: Deep understanding of multi-threading, multiprocessing, and asynchronous programming patterns. + For Node.js: Mastery of the Event Loop, non-blocking I/O, Promise.all patterns, and Worker Threads for CPU-intensive tasks. + For Python: Experience managing the GIL (Global Interpreter Lock), utilizing asyncio for I/O bound tasks, and multiprocessing for parallel data processing. AI & Intelligent Automation + AI Integration: Experience integrating LLM APIs (OpenAI, Anthropic, Gemini) directly into automation frameworks for tasks like automated root cause analysis of failure logs or

Created: 2026-02-05