Principal Quality Engineering Architect

Posted 17 Hours Ago
Be an Early Applicant
Kingston, South Cambridgeshire, Cambridgeshire, England
Expert/Leader
Information Technology • Software
The Role
The Principal Quality Engineering Architect will lead strategic quality initiatives, provide guidelines and insightful consultation for quality processes, and innovate testing strategies. This role involves cultivating a high-value QE team, implementing metrics for effectiveness, and designing robust testing frameworks to ensure quality across projects, particularly in relation to GenAI technologies.
Summary Generated by Built In

Join us, at Wolters Kluwer, and be part of a dynamic global technology company that makes a difference every day. We’re innovators with impact. We provide expert software & information solutions that the world’s leading professionals rely on, in the moments that matter most.

You’ll be supported by collaborative colleagues who share a purpose. We are 21,000 people unique in our dreams, life stories, abilities, and passions who come together every day with one ambition: to make a difference.​ We do our best work together, connecting to create new innovations with impact.

We are looking for a Principal Quality Engineering Architect in our London office

Responsibilities:

  • Drive strategic quality initiatives at a divisional level working closely with CTOs & supporting technical leadership 

  • Provide comprehensive guidelines and practical examples for project plans, quality metrics, quality plans, and process improvement. 

  • Offer invaluable advice and serve as a reliable sounding board for */dxg leadership, focusing on QE innovation, guidance, and training. 

  • Lead QE teams when necessary, inspiring team members to elevate their performance and become leading professionals in their field. 

  • Cultivate a solid, resilient, and high-value QE Team for the organization, fostering a culture of excellence and continuous learning. 

  • Provide technical leadership and guidance to QE teams, helping them solve complex technical challenges, adopt new technologies, and improve testing efficiency and effectiveness. 

Quality Engineering Standards 

  • Innovate quality engineering policies processes, standards, and procedures

  • Implement metrics and Key Performance Indicators (KPI) to measure and monitor the effectiveness of quality engineering processes. 

Innovation 

  • Challenge the status quo of the current Quality industry paradigms and determine the evolving role of QE in the new GenAI technology universe 

  • Provide insights into developing technologies and determine their implementation within the dxg QE environment. 

  • Continuously seek opportunities for process improvement and innovation, positioning */dxg at the forefront of cutting-edge quality practices. 

  • Consult on complex testing strategies for products, defining and redefining QE work procedures, guidelines, and designs for holistic testing processes. 

  • Advise on the strategic direction of Quality Engineering within */dxg, promoting awareness of the importance of quality engineering and driving initiatives to improve a quality culture, processes, and outcomes. 

 

 

Test Architecture Design 

  • Design and implement robust test architectures and frameworks to support automated testing, performance testing, and continuous integration. 

  • Define standards and best practices for test case design, test data management, and test environment configuration. 

  • Ensure scalability, maintainability, and reusability of test assets across multiple projects. 

  • Design comprehensive QE solutions that align with the organization's business objectives, development methodologies, and technology stack. 

Tools Framework 

  • Design and implement robust test architectures and frameworks to support automated testing, performance testing, and continuous integration. 

  • Define standards and best practices for test case design, test data management, and test environment configuration. 

  • Ensure scalability, maintainability, and reusability of test assets across multiple projects. 

  • Design comprehensive QE solutions that align with the organization's business objectives, development methodologies, and technology stack.

Automation 

  • Create automated test scripts for functional, regression, performance, and security testing. 

  • Integrate automated tests into continuous integration/continuous deployment (CI/CD) pipelines for seamless execution. 

  • Ensure test scripts are efficient and reliable, and provide comprehensive coverage of application functionality. 

Performance Testing 

  • Design and develop performance testing strategies to assess system scalability, reliability, and responsiveness. 

  • Identify performance bottlenecks, analyze test results, and provide recommendations for optimization. 

  • Collaborate with development teams to implement performance improvements and ensure scalability. 

  • Implement techniques such as parallel testing and distributed execution to accelerate testing cycles. 

  • Monitor test execution results and identify opportunities for performance improvements.

Collaboration 

  • Collaborate with development, product management, and operations teams to ensure alignment on quality objectives and priorities. 

  • Provide technical guidance and support to QA engineers, developers, and other stakeholders. 

  • Facilitate knowledge sharing and best practice dissemination across teams to promote a culture of quality and continuous improvement. 

Guidance and Training 

  • Develop and maintain updated training materials based on the Center of Excellence's (CoE) Methods of Work. 

  • Oversee the management, review, and dissemination of the Method of Work library to ensure accessibility and relevance. 

  • Offer mentorship and training sessions to Quality Architects and Quality Engineers, focusing on tools, techniques, and best practices. 

  • Cultivate a culture of continuous learning and improvement within the QA team, encouraging active participation and knowledge sharing. 

  • Share expertise and insights with cross-functional teams to foster collaboration and alignment on quality assurance initiatives. 

  • Equip individuals and teams with the knowledge and expertise required to excel in Quality Engineering through comprehensive training and mentorship. 

  • Enable Methods of Work (MoWs) writing and maintenance, fostering growth and proficiency in Quality Engineering among WK Groups/Divisions. 

  • Provide guidance in adopting Agile Scrum and SAFe ceremonies, ensuring project teams fully grasp the significance and implementation of Agile/Scrum methodologies. 

  • Conduct dxg Methods of Work (MoW) training tailored for various stakeholders, from project owners to development and quality assurance teams. 

Reporting 

  • Provide regular progress updates and detailed reports to both peers and management regarding automation progress, test results, and key performance metrics. 

  • Effectively communicate with cross-functional teams to raise awareness of critical issues, risks, and recommendations for improvement. 

  • Prepare executive summaries and presentations that effectively convey the impact of automation initiatives on project outcomes and align with business objectives. 

  • Establish and co-lead the Quality governance process to identify, assess, and mitigate risks that could impact the quality of software products. 

  • Develop risk management strategies and implement controls to minimize the likelihood and impact of quality-related risks. 

Qualifications:

- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

- Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools.

- Excellent analytical and problem-solving skills, with a strong attention to detail.

- Effective communication and interpersonal skills, with the ability to collaborate across teams and influence stakeholders.

- In-depth knowledge of software quality assurance principles, methodologies, and best practices.

- Strong understanding of software development lifecycle (SDLC) methodologies, including Agile, Scrum, and DevOps.

- Knowledge of Test Automation scripts and programming languages. Or equivalent experience or training

Experience:

- Proven experience in quality assurance and software testing, with a focus on test architecture and strategy.

- Experience designing and implementing comprehensive QE strategies, tools, frameworks, and solutions across complex software projects or organizations.

- Demonstrated track record of successfully leading QE initiatives, improving testing processes, and driving quality improvements.

Able to Train, Coach, and mentor scrum cadence. Or equivalent experience or training

Join us and Be the Difference!

Top Skills

Quality Engineering
The Company
Hagerstown, MD
18,996 Employees
On-site Workplace

What We Do

Wolters Kluwer (www.wolterskluwer.com) is a global leader in information services and solutions for professionals in the health, tax and accounting, risk and compliance, finance and legal sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services.

Founded in 1836 and headquartered in Alphen aan den Rijn, the Netherlands, the company serves customers in over 180 countries, maintains operations in over 40 countries and employs 18,600 people worldwide.

Wolters Kluwer reported 2019 annual revenues of €4.6 billion. Listed on Euronext Amsterdam, Wolters Kluwer shares (WKL) are included in the AEX and Euronext 100 indices. Wolters Kluwer has a sponsored Level 1 American Depositary Receipt program. The ADRs are traded on the over-the-counter market in the U.S. (WTKWY).

Similar Jobs

Snap Inc. Logo Snap Inc.

Machine Learning Engineer - GenAI

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
London, Greater London, England, GBR
5000 Employees

Snap Inc. Logo Snap Inc.

Solutions Engineer (AdTech)

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
London, Greater London, England, GBR
5000 Employees

Snap Inc. Logo Snap Inc.

Machine Learning Engineer - Computer Vision

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
London, Greater London, England, GBR
5000 Employees

Snap Inc. Logo Snap Inc.

Machine Learning Engineer Manager

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
London, Greater London, England, GBR
5000 Employees

Similar Companies Hiring

InterSystems Thumbnail
Software • Machine Learning • Healthtech • Database • Big Data • Artificial Intelligence • Analytics
Boston, MA
1800 Employees
Trustpilot Thumbnail
Software • Sales • Information Technology • Consumer Web
Copenhagen, DK
950 Employees
TravelPerk Thumbnail
Travel • Software • HR Tech
Barcelona, Barcelona
1300 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account