Manager, Software Quality Assurance (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Manager, Software Quality Assurance (AI): Leading and developing a team of Quality Engineers while driving modern quality engineering practices for EHS & ESG software products with an accent on automation, AI-enabled testing, and SDLC integration. Focus on defining quality strategy, mentoring talent, and hands-on technical contribution to frameworks and CI/CD pipelines.
Location: Onsite in London, Canada Square
Company
is a global provider of professional information, software solutions, and services for clinicians, accountants, lawyers, and tax, finance, audit, risk, compliance, and regulatory sectors.
What you will do
- Lead, mentor, and develop a team of Quality Engineers to foster a culture of ownership and continuous improvement.
- Define and execute a comprehensive Quality Engineering strategy aligned with business objectives.
- Design and implement automated testing frameworks across UI, API, and end-to-end testing.
- Evaluate and integrate AI-powered testing tools to improve test coverage, efficiency, and defect detection.
- Partner with Engineering, Product, and DevOps teams to embed quality-by-design principles throughout the SDLC.
- Monitor quality metrics and KPIs using data analytics tools to drive informed improvements.
Requirements
- Proven experience managing and mentoring Quality Engineering or Software QA teams.
- Strong hands-on experience with software testing and automation frameworks like Playwright, Cypress, or Selenium.
- Experience with API testing and contract testing in distributed or microservices architectures.
- Experience integrating automated testing into CI/CD pipelines.
- Practical experience applying AI tools within software testing or engineering workflows.
- Strong analytical and reporting skills, including experience with Power BI.
Nice to have
- Experience delivering enterprise SaaS applications.
- Knowledge of regulated industries such as EHS, ESG, or Finance.
- Familiarity with cloud platforms like Azure or AWS.
- ISTQB certification or relevant AI-focused training.
Culture & Benefits
- Focus on engineering excellence and innovation.
- Opportunities to work with emerging AI technologies in a professional software environment.
- Collaborative team culture with a focus on continuous improvement and professional development.
Hiring process
- The process includes in-person interviews at a office.
- Candidates are expected to participate without the assistance of AI tools or external prompts.
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