Industry/Sector
Not Applicable
Specialism
Quality Engineering
Management Level
Senior Associate
Job Description & Summary
At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.
In quality engineering at PwC, you will focus on implementing leading practice standards of quality in software development and testing processes. In this field, you will use your experience to identify and resolve defects, optimise performance, and enhance user experience.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Respond effectively to the diverse perspectives, needs, and feelings of others.
- Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
- Use critical thinking to break down complex concepts.
- Understand the broader objectives of your project or role and how your work fits into the overall strategy.
- Develop a deeper understanding of the business context and how it is changing.
- Use reflection to develop self awareness, enhance strengths and address development areas.
- Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
Quality Assurance
Ensure overall product quality through a shift-left, automation-first approach, collaborating with developers, DevOps, and product teams to define and execute test strategies.
Own testing and PR quality gates across the full application stack — including databases, services, integrations, front-end, user experience, and business logic.
Perform comprehensive validation across functional, integration, and performance layers, leveraging insights from test data and analytics to enhance quality.
Mentor QA engineers and promote best practices in testing standards, framework design, and code quality.
Adopt a suitable mix of manual, exploratory, and automated testing to validate functionality, data integrity, API responses, and performance.
Continuously refine testing methodologies to enhance efficiency and reduce execution time.
Define and monitor quality metrics to drive test coverage, defect prevention, and continuous process improvement throughout the SDLC.
AI, Innovation and Continuous Improvement:
- Stay ahead of emerging trends in test automation, DevOps, and quality engineering practices.
- Explore and adopt emerging tools and AI-driven testing solutions to enhance efficiency, scalability, and innovation in the testing ecosystem.
- Continuously innovate by adopting emerging tools and AI-driven automation strategies to enhance testing efficiency, scalability, and speed.
- Leverage machine learning and generative AI to optimize test authoring, defect prediction, and intelligent test coverage analysis.
- Automation
- Design, develop, and maintain scalable, reusable UI, API, and backend automation frameworks to support full-stack test coverage.
- Implement and optimize end-to-end (E2E) automation for seamless integration, validation, and continuous delivery.
- Evaluate and adopt automation tools and technologies aligned with organizational goals and technical infrastructure.
- Mentor and guide Automation & QA teams, establishing best practices in framework design, coding standards, and test data management.
Collaboration and Communication:
- Work closely with development, DevOps, and product teams to ensure testability, performance, and maintainability.
- Communicate automation progress, blockers, and risks proactively to stakeholders.
- Act as a quality advocate in sprint ceremonies, ensuring timely and effective QA delivery.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
- Proven experience in software testing and automation, with exposure to both frontend and backend systems.
- Strong knowledge of automation frameworks such as Playwright, Selenium, Cypress, or Robot Framework.
- Proficiency in programming languages such as TypeScript, JavaScript, React, Node.js, Java, or Python.
- Hands-on experience with API automation (REST, GraphQL, Postman, REST Assured, or mocking tools).
- In-depth understanding of Web Application Architecture and microservices.
- Experience with data testing, database validation, and SQL / NoSQL systems.
- Working knowledge of CI/CD tools (e.g., Jenkins, GitLab, Azure DevOps).
- Familiarity with BDD/TDD frameworks (Cucumber, Spec Flow, or similar).
- Understanding performance, security, and E2E testing concepts.
- Exposure cloud environments (AWS, Azure, or GCP).
- Excellent problem-solving, analytical, and communication skills.
- Strong leadership qualities with the ability to collaborate effectively across teams.
- Exposure to or experience implementing AI-based testing solutions highly desirable.
Travel Requirements
Up to 20%
Job Posting End Date
