Senior QA Engineer

WeDoTech; Greater London; Hybrid; GBP 70,000 - 80,000; Full time

Job summary

A technology company is looking for a Senior QA Engineer / SDET in South London. The position involves owning quality and test risk while working within a high-impact product team on an AI-driven SaaS platform. Candidates should have strong programming skills in C# .NET or Python, solid database knowledge, and experience with API testing. This role offers a competitive salary of up to £80,000, hybrid working conditions, and opportunities for career growth within an established QA community.

Qualifications

• Strong understanding of architectural differences between monolithic and microservices based systems.
• Exposure to security and load testing practices.
• Performance testing experience using tools such as K6 or Jmeter.

Responsibilities

• Take ownership of quality and test risk across the platform.
• Define and evolve test strategies aligned to the test pyramid.
• Deliver hands on automation and quality engineering across two key domains.
• Build, maintain, and optimise automated test suites within CI/CD pipelines.
• Collaborate closely with engineers, product, and platform teams.

Skills

C# .NET

Python

Database knowledge

API testing

Security testing practices

Load testing

CI/CD pipeline

Performance testing

Tools

Azure DevOps

Cypress

K6

Jmeter

Job description

Job Title: Senior QA Engineer / SDET
Salary: Up to £80,000 base + bonus and enhanced pension
Location: South London Hybrid working with two days per week onsite
Work Type: Permanent

Role

This is a Senior level QA Engineer / SDET role within a high impact product team working on an industry leading SaaS platform that actively leverages AI and ML in production. Quality, risk, and reliability are treated as core engineering disciplines rather than support functions.

You will be part of a large and established QA community of over 60 highly skilled QA professionals. Managers and senior leaders within the group are recognised speakers in the QA community and are active thought leaders within the AI testing space, offering strong mentorship, exposure, and long term career development.

The role operates as an embedded position within a cross functional Scrum team, with a clear split in impact: approximately 50% of your time will focus on AI agents and AI driven capabilities, and 50% on the organisation's industry leading SaaS offering, helping push the boundaries of how AI can be applied within an evolving industry.

Responsibilities

• Take ownership of quality and test risk, shaping release confidence and engineering decisions across the platform
• Define and evolve test strategies across unit, integration, contract, and UI layers, aligned to the test pyramid
• Deliver hands on automation and quality engineering across two key domains: AI agents and a complex SaaS platform
• Contribute directly to AI testing initiatives, helping validate, monitor, and improve AI driven capabilities in production
• Build, maintain, and optimise automated test suites within CI/CD pipelines
• Work with Cypress for UI automation, with scope to influence future Playwright adoption
• Design and maintain contract testing using PACT within a microservices architecture
• Collaborate closely with engineers, product, and platform teams to embed quality throughout the development lifecycle
• Support reliability, security, and performance initiatives, including resilience and fault tolerance testing
• Promote strong quality engineering standards and best practice across teams and the wider QA community

Required Skills

• Strong understanding of architectural differences between monolithic and microservices based systems
• Programming experience in C# .NET or Python
• Solid database knowledge and hands on experience working with data driven systems
• Experience testing and validating API integrations
• Exposure to security and load testing practices
• Strong CI/CD pipeline experience, ideally using Azure DevOps
• Performance testing experience using tools such as K6 or Jmeter

Why?

This role has been created due to continued growth and increasing investment in AI driven capabilities across the platform. The team is pushing the boundaries of what is possible with AI in a regulated, production grade SaaS environment, and quality engineering is central to that ambition.

Recruitment Process

1. Stage 1: CV walkthrough and culture fit conversation
2. Stage 2: Take home tech test
3. Stage 3: Onsite face to face interview

Ready to apply?

Click apply or send your CV to (url removed)