Jobgether
QA Automation Lead [gn] Data Intelligence
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QA Automation Lead [gn] Data Intelligence
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a QA Automation Lead [gn] Data Intelligence based in the United Kingdom.
As a QA Automation Lead, you will play a critical role in ensuring the quality, reliability, and scalability of a sophisticated data intelligence platform. You will define and lead the automation strategy for complex SaaS and distributed systems, driving quality across the entire software development lifecycle. Working closely with engineering, product, DevOps, and sustaining teams, you will champion automation-first practices, accelerate release cycles, and improve platform resilience. This is an opportunity to combine technical leadership with hands-on engineering while mentoring a talented team and introducing innovative testing approaches, including AI-powered automation, in a collaborative and fast-growing environment.
Accountabilities
- Design, implement, and maintain scalable end-to-end automation frameworks for complex SaaS applications, distributed architectures, and data-intensive platforms.
- Integrate automated testing into CI/CD pipelines using tools such as GitHub Actions or Jenkins to enable rapid, reliable software delivery.
- Develop comprehensive automation strategies covering UI, API, integration, performance, resilience, and data integrity testing.
- Serve as the technical leader for the QA automation team by establishing coding standards, conducting code reviews, and reducing framework technical debt.
- Mentor automation engineers and support functional QA professionals in adopting automation best practices and expanding their technical capabilities.
- Plan and allocate testing resources effectively across new feature development, framework enhancements, and continuous improvement initiatives.
- Own quality gate approvals for platform releases, ensuring deployments meet defined quality standards before production.
- Collaborate closely with product management, engineering, DevOps, and sustaining teams to embed quality throughout the development lifecycle.
- Analyze production defects, create automated regression tests, eliminate flaky test cases, and continuously improve automation reliability.
- Track and report key quality metrics, including test coverage, execution efficiency, pass rates, and defect leakage, while leveraging AI tools to optimize testing processes.
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Requirements
- Extensive experience as a Senior Software Development Engineer in Test (SDET), QA Automation Lead, or a similar technical leadership role.
- Proven expertise testing enterprise SaaS platforms, distributed systems, big data solutions, or complex data-driven applications.
- Strong programming skills in Java, Python, or Go, with hands-on experience building and maintaining modern automation frameworks such as Playwright, Cypress, Selenium, or custom solutions.
- Advanced knowledge of API testing, SQL, and automated validation of complex data workflows.
- Experience integrating automated testing into CI/CD pipelines using GitHub Actions, Jenkins, or similar continuous integration platforms.
- Practical experience working with Docker, Kubernetes, GitHub, and major cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with AI-powered testing tools and generative AI technologies to improve test creation, execution, and defect analysis.
- Strong analytical and problem-solving abilities with a proactive mindset and commitment to continuous quality improvement.
- Excellent communication, leadership, mentoring, and stakeholder management skills with the confidence to advocate for quality standards across technical teams.
Benefits
- Competitive salary and comprehensive benefits package.
- Flexible working arrangements, including remote or hybrid options.
- Opportunity to contribute to an innovative, fast-growing organization focused on data intelligence and enterprise technology.
- Collaborative and inclusive environment with highly skilled engineering and product teams.
- Professional development and career growth opportunities.
- Exposure to cutting-edge technologies, modern automation practices, cloud infrastructure, and AI-driven testing solutions.
- Supportive workplace that values diversity, innovation, teamwork, and continuous learning.
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How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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