QA Engineering Lead - SaaS (Azure/C#) | Hybrid in Surrey

QA Engineering Lead - SaaS (Azure/C#) | Hybrid in Surrey

Surrey Full-Time 130000 - 130000 £ / year (est.) No working from home possible
Client Server

At a Glance

  • Tasks: Lead QA efforts and define testing strategies for an innovative AI-driven product.
  • Company: Client Server, a forward-thinking tech company in Reigate.
  • Benefits: Up to £130k salary, bonuses, enhanced parental leave, and generous holidays.
  • Other info: Hybrid work model with great career development opportunities.
  • Why this job: Combine leadership with hands-on automation in a cutting-edge tech environment.
  • Qualifications: Experience in QA engineering and proficiency in C#.

The predicted salary is between 130000 - 130000 £ per year.

Client Server is looking for a QA Engineering Lead in Reigate, offering a salary up to £130k plus bonuses. You will define testing strategies for a cutting-edge AI-driven product. The role combines leadership with hands-on test automation using C#.

The position features a hybrid work model, requiring two days in the office each week. Enjoy a competitive package including enhanced parental leave, generous holidays, and career development opportunities.

QA Engineering Lead - SaaS (Azure/C#) | Hybrid in Surrey employer: Client Server

Client Server is an exceptional employer, offering a dynamic work environment in Reigate where innovation meets collaboration. With a strong focus on employee growth, you will have access to career development opportunities alongside a competitive benefits package that includes enhanced parental leave and generous holidays. The hybrid work model promotes a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding employment in the tech industry.

Client Server

Contact Details:

Client Server Recruitment Team

We think you need these skills to ace QA Engineering Lead - SaaS (Azure/C#) | Hybrid in Surrey

Test Automation
C#
Leadership
Testing Strategies
AI-driven Product Testing
Hybrid Work Model Adaptability
Quality Assurance