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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Automation Test Lead - Python - **Company:** London Stock Exchange Group - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Apache HTTP Server, Build Automation, Automation of Tests, Software Bug Management, Cloud Computing, Code Coverage, Code Review, Computer Programming, Databases, Information Engineering, Database Applications, Database Testing, Distributed Systems, Apache JMeter, Junit, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Regression Testing, E2e Testing, Service Virtualization, Systems Integration, Strategies of Testing, Testng, TypeScript, Performance Testing, ReactJS, Generative AI, Pytest, AngularJS, Gitlab-ci, Playwright, Web Technologies, Cucumber (Software) - **Published:** October 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=aca3f2b9f3024c39 ## About the Role You will need to be a strategic thinker with hands-on experience in automation testing and a deep understanding of the nuances of systems with intricate interdependencies., * 12+ years in Quality Engineering, Testing, or Test Automation with leadership experience. * Experience delivering enterprise-scale automation strategies. * Strong hands-on knowledge of multiple test frameworks and tools - Pytest, Pytest-BDD, Playwright, Cucumber, Junit or TestNG * Proficiency in programming with Python and working knowledge of JavaScript/TypeScript. * Experience with database testing (Postgres, SQL Server, Athena Iceberg) and data-centric applications. * Strong understanding of API, UI, integration and end-to-end testing. * Experience with GitLab CI/CD and integrating automated tests within them * Strong experience working with cloud technologies and services, with hands-on testing experience across AWS-based platforms preferred. * Strong understanding of modern technologies and adoption of advanced solutions on AI/ML for resolving automation problems is highly advantageous * Familiarity with performance testing, security testing, and other non-functional testing approaches using JMeter, Apache Benchmark * Certification in QA or Test Automation (e.g., ISTQB Foundation, Advanced/or Specialist certification) Soft Skills: * Excellent problem-solving abilities and attention to detail. * Strong communication and interpersonal skills, with the ability to lead cross-functional teams. * Ability to manage multiple priorities and adapt to a fast-paced, dynamic environment. * Strong analytical a data-driven decision-making capabilities. * undefined ## Description At FTSE Russell, LSEG's Index Business, we are seeking a QA Engineering Manager to develop and execute a comprehensive QA strategy for applications with complex dependencies. The ideal candidate will lead efforts in automation and regression testing, focusing on applications that are data centric and are supplemented by web technologies like Angular, React, and others., Strategy & Leadership: * Define and drive the Quality Engineering vision, roadmap, and operating model across product streams. * Champion a quality-first culture across engineering teams. * Establish standards and governance for automation, release readiness, and quality metrics. * Drive adoption of AI-assisted quality engineering practices and intelligent automation solutions. * Provide technical leadership, coaching and mentorship across Quality Engineering teams. Automation, AI & Quality Engineering: * Develop enterprise-scale automation strategies covering UI, API, database, integration and E2E testing. * Build automation frameworks using Playwright, PyTest and BDD approaches. * Drive adoption of Generative AI for test design, test maintenance, defect triage, root-cause analysis, and engineering productivity improvements. * Drive automation KPIs and continuous improvement. * Integrate testing into CI/CD pipelines and quality gates. Data Quality & Platform Assurance * Define testing strategies for data-intensive platforms and financial datasets. * Ensure integrity and accuracy of market and index data. * Implement automated database validation and reconciliation testing. * Partner with data engineering teams on scalable quality controls. Technical Oversight: * Define the technical direction for automation frameworks, testing infrastructure, and quality engineering tooling across multiple product domains. * Partner with architects and engineering leaders to improve system quality, reliability, observability, and testability. * Collaborate with cross-functional teams to identify potential areas of risk and improve application quality through effective test coverage. * Drive cloud-native testing strategies across AWS-based platforms and distributed architectures. * Establish standards for API, contract, integration, and service virtualization testing. Operational Excellence: * Continuously evaluate and enhance QA processes to improve efficiency, reduce cycle times, and enhance overall product quality. * Implement best practices for code reviews, testing protocols, and defect tracking to ensure high-quality deliverables. * Foster a culture of continuous improvement and innovation within the Quality Engineering team. * Establish dashboards and KPIs covering automation coverage, defect leakage, production incidents, release confidence, and test effectiveness. * Analyse production quality trends and drive data-driven improvement initiatives. Collaboration & Communication: * Work closely with product managers, developers, and other stakeholders to ensure alignment on quality objectives and deliverables. * Communicate Quality Engineering strategies, plans, progress, and risks effectively to both technical and non-technical audiences. * Coordinate with project managers to ensure timely delivery of testing milestones and project goals.