> Markdown version of [/jobs/ext/3573613-enablement-pod-test-sdet-sme](https://www.wearedevelopers.com/jobs/ext/3573613-enablement-pod-test-sdet-sme). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enablement Pod Test/SDET SME - **Company:** Globallogicour - **Location:** UK - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Audit Trail, Automation of Tests, Code Generation, Code Review, Cursor, Formal Verification, Load Testing, Systems Development Life Cycle, Reliability Engineering, E2e Testing, Site Reliability Engineering Practices, Strategies of Testing, Cloud Platform System, Spring Cloud, Claude Code, Cypress (Programming Language), Pytest, Playwright, Data Management, SDET, Microservices - **Published:** October 4, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/enablement-pod-testsdet-sme/50314331 ## About the Role Job Description We partner with leading Financial Services organizations to deliver large-scale 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-on 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) and the ability to integrate AI tooling alongside them Understanding of AI-native SDLC practices and how testing must evolve when code is generated or augmented by AI Experience with test architecture at scale - knowing when to test, what to test, and how to maintain fast feedback loops in large codebases Ability to coach engineers on testing practices - shifting quality left and making testing a shared responsibility rather than a bottleneck Comfortable assessing unfamiliar codebases and quickly identifying the highest-impact quality improvements Desirable Skills & Experience Experience with property-based testing, mutation testing, or formal verification approaches Background in performance or reliability engineering (load testing, chaos engineering, SRE practices) Familiarity with contract testing in microservice architectures (Pact, Spring Cloud Contract) Experience in financial services quality assurance (regulatory testing requirements, audit trails) Experience defining and tracking quality metrics (defect escape rate, test cycle time, coverage trends) Job Responsibilities Assess the engineering team's current testing maturity during the discovery phase - identifying gaps in coverage, slow feedback loops, and manual bottlenecks that block rapid delivery Design and implement AI-native testing strategies: using Claude Code (or equivalent agentic CLI tooling) to generate test cases from requirements, analyse coverage gaps, and detect regression risks Build custom Claude Code (or equivalent agentic CLI tooling) skills and subagents focused on quality engineering - automated test generation, test data management, and intelligent test selection Define quality gates within the AI-native SDLC that provide fast, automated feedback without creating delivery drag Embed testing best practices into product squads through pairing, code review, and hands-on demonstration Create reusable testing patterns (frameworks, templates, agent configurations) that are made centrally available for use across all engineering teams Work alongside squad developers to ensure AI-generated code meets quality standards and that testing keeps pace with accelerated delivery #LI-SB9 What we offer