QA & Software Validation Engineer – Cloud AI Platform

Worky; Cambridge; On-site; GBP 32,000 - 48,000; Full time

Benefits offered by this job

Annual bonus

Private medical insurance

Life insurance

Contributory pension

Job summary

Qureight seeks an early-career software validation engineer to join our team in Cambridge. You will help deliver high-quality products for clinical trial customers and ensure regulatory compliance, working across Python backend, Next.js frontend, and ML components in a Terraform AWS EKS environment.

You will implement testing strategies, validate automated tests, and contribute to CSV and quality assurance processes while collaborating in an Agile setting with DevOps and data science teams in

Qualifications

• Experience with automated testing frameworks
• Experience validating Python-based software stacks
• Familiarity with ML components is a plus

Responsibilities

• Implement testing strategies across the software stack (unit/integration/regression/E2E)
• Test functional, performance, regulatory, privacy and security requirements prior to release
• Manage test runs, report and track defects
• Participate in software design reviews to ensure testability
• Improve automated processes producing traceable artefacts
• Attend sprint planning and stand-ups
• Contribute to CSV across platforms for regulatory compliance
• Stay up to date with best practices and testing methodologies

Skills

Automated testing

Analytical mindset

Communication skills

Problem solving

Debugging

Test strategy

Education

Degree in Computer Science or Engineering

Tools

pytest

Playwright

Selenium

GitLab CI/CD

Job description

Qureight seeks an early-career software validation engineer to join our team in Cambridge. You will help deliver high-quality products for clinical trial customers and ensure regulatory compliance, working across Python backend, Next.js frontend, and ML components in a Terraform AWS EKS environment.

You will implement testing strategies, validate automated tests, and contribute to CSV and quality assurance processes while collaborating in an Agile setting with DevOps and data science teams in