1 to 25 of 73 Test Strategy Jobs in Glasgow

analytical skills and tech-savviness will be pivotal in creating impactful solutions. As a Solutions Analyst III in Payments Technology - UAT, you will provide test management and supervision for the Payments Technology LOB in a cross-business, cross-functional project-based environment and support the strategic roll … will also be expected to support the strategic roll out of an automated testing solution. Job responsibilities Lead day-to-day E2E/UAT test team delivery, including supervision, work allocation, issue resolution, and regular manager updates. Provide accurate test effort estimates and clear status reporting in daily ...

analytical skills and tech-savviness will be pivotal in creating impactful solutions. As a Solutions Analyst III in Payments Technology - UAT, you will provide test management and supervision for the Payments Technology LOB in a cross-business, cross-functional project-based environment and support the strategic roll … will also be expected to support the strategic roll out of an automated testing solution. Job responsibilities Lead day-to-day E2E/UAT test team delivery, including supervision, work allocation, issue resolution, and regular manager updates. Provide accurate test effort estimates and clear status reporting in daily ...

join our UK QA team. The ideal candidate will be capable of working autonomously across the full testing lifecycle, from requirements analysis and test planning through to execution, reporting, and automation.The role requires an individual who can collaborate effectively with project teams and stakeholders, understand business and technical requirements … identify risks, define appropriate test approaches, and deliver high-quality testing outcomes with minimal supervision.The successful candidate will contribute to the continuous improvement of quality engineering practices, test automation capabilities, and the adoption of innovative technologies, including AI-assisted testing approaches.**Role accountabilities:**· Collaborate with project teams ...

digital transformation, cloud, data, AI, and platform modernization initiatives across global delivery models. We are looking to hire an experienced Software Development Engineer in Test for our consulting client projects. Requirements Strong quality engineering background with experience across unit, integration, contract, and end-to-end testing strategies Hands … experience with Claude Code (or equivalent agentic CLI tooling — Cursor, Codex CLI, Cline, Aider): writing custom skills for test automation, building subagents for coverage analysis, and configuring MCP servers for test infrastructure Experience with modern test frameworks and tooling (Jest, Playwright, Cypress, pytest, or similar ...

Role Overview We are seeking an experienced Test Manager to lead test management and delivery within a large-scale transformation environment. The successful candidate will bring strong experience across test strategy and delivery, risk and controls, stakeholder management, business process improvement and technology change. This … provide clear reporting and analysis, identify and manage delivery risks, and drive continuous improvement throughout the transformation lifecycle. Key Responsibilities Lead end-to-end test management across large-scale transformation programmes. Develop and implement appropriate test strategies, plans, governance and reporting. Manage testing risks, issues, dependencies, controls ...

assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective … including design, development, testing, and deployment Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding of responsible ...

assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective … engineering concepts and advanced applied experience Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding of responsible ...

enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, accelerated test strategy, incident/root-cause analysis support), while enforcing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns. ...

assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‐assisted code review/refactoring, test strategy acceleration, incident/root‐cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective … programming languages: Java, Python, Node.js, React, SQL. Demonstrated experience leading effective use of approved AI‐assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Hands‐on experience using enterprise‐authorized ...

with engineering and product teams to deliver usable workflowsDesign and implement event-driven and streaming architectures using Kafka, including topic design, schema/contract strategy, and resilient producer/consumer patternsContribute directly to operational stability and reliability by leading incident response and root cause analysis, reducing repeat incidents … assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective ...

assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective … resiliency, and securityPractical cloud-native development experienceHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and securityUnderstanding of responsible ...

assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective … security Practical cloud-native development experience Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding of responsible ...

assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective … security Practical cloud-native development experience Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding of responsible ...

assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective … delivery and take ownership end to end. Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and securityStrong understanding of responsible ...

assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective … delivery and take ownership end to end. Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible ...

enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, accelerated test strategy, incident/root-cause analysis support), while enforcing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns. ...

standard — strong engineering practices, testing, accessibility, and compliance awareness — ensuring quality is built in by defaultContribute to the evolution of the team's technology strategy, evaluating emerging tools and frameworks to bring value to the technology stackDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work … environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the teamApplies knowledge ...

strong engineering practices, testing, accessibility, and compliance awareness — ensuring quality is built in by default Contribute to the evolution of the team's technology strategy, evaluating emerging tools and frameworks to bring value to the technology stack Drives team adoption of enterprise-authorized AI-assisted engineering practices within … work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Applies ...

assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective … data, and platform teams to align on priorities and deliver secure, compliant solutions. Owns remediation of engineering hygiene issues (e.g. vulnerability findings, dependency upgrades, test coverage gaps) and drives sustainable remediation through automation, standards and measurable quality targets. Required qualifications, capabilities, and skills Formal training or certification on software ...

operational documentation, including high‐level design, dependency maps, data flows, control narratives, and runbooks. Own resiliency and disaster recovery planning, including recovery objectives, test execution, after‐action reviews, and closure of follow‐up actions. Define and continuously improve production readiness standards, including release safety and rollback strategy, dependency … assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‐assisted code review/refactoring, test strategy acceleration, incident/root‐cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective ...

problems. Lead the migration from a legacy monolith to a modern, containerized microservices architecture (Java/Spring Boot; UI modernization as needed), including decomposition strategy, domain modeling, and data migration planning. Re‐architect existing infrastructure to achieve high scalability, reliability, and availability (multi‐AZ/region patterns, autoscaling … assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‐assisted code review/refactoring, test strategy acceleration, incident/root‐cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective ...

assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective … proficiency in one or more programming languages Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible ...

assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective … more programming languages, preferrably Java. Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. Understanding of responsible ...

assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective … more programming languages, preferrably Java. Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. Understanding of responsible ...

assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective … Mathematics, or a related technical field Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding of responsible ...