Lead Test Automation & Quality Engineering in London

Lead Test Automation & Quality Engineering in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
ANSON MCCADE

At a Glance

  • Tasks: Lead quality engineering strategies and shape automation practices across transformation programmes.
  • Company: Anson McCade, a leading digital consultancy in the UK.
  • Benefits: Leadership progression, exposure to AI tools, and competitive salary.
  • Other info: Opportunity to work with cloud environments like AWS and Azure.
  • Why this job: Influence quality engineering in a dynamic environment with cutting-edge technology.
  • Qualifications: Experience in test automation and strong leadership skills.

The predicted salary is between 60000 - 80000 Β£ per year.

Anson Mc Cade in the United Kingdom is seeking a Test Automation Manager to lead quality engineering strategies across complex transformation programmes.

You will shape automation strategy, stay hands-on with modern automation, and drive best practices across teams and client engagements.

The role offers leadership progression and exposure to AI-assisted tools within cloud environments (AWS/Azure).

A unique opportunity to influence a leading digital consultancy's Quality Engineering capability.

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Lead Test Automation & Quality Engineering in London employer: ANSON MCCADE

Anson McCade is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible remote working environment in the UK. With a strong focus on security and digital transformation, employees benefit from comprehensive training programmes and clear pathways for career advancement, all while contributing to impactful projects alongside talented teams and senior stakeholders.

ANSON MCCADE

Contact Details:

ANSON MCCADE Recruitment Team

We think you need these skills to ace Lead Test Automation & Quality Engineering in London

Test Automation
Quality Engineering
Automation Strategy
Leadership Skills
Cloud Environments (AWS/Azure)
AI-assisted Tools
Best Practices Implementation