Enablement Pod Test/SDET SME IRC304278

GlobalLogic Inc.; Glasgow; Hybrid; GBP 55,000 - 80,000; Full time

Benefits offered by this job

Hybrid model

Health and wellness plan

Private healthcare

Pension scheme

Volunteer day

Team social events

Job summary

GlobalLogic seeks an experienced Software Development Engineer in Test to lead AI-native testing strategies across large financial services projects. You will design and implement automated test generation, coverage analysis, and reliability practices, coaching squads to raise testing maturity and accelerate delivery.

Join a team that emphasizes fast feedback loops, scalable test architectures, and the integration of AI tooling with modern frameworks.

Qualifications

• Strong quality engineering background with testing strategies across unit, integration, contract and end-to-end.
• Hands-on with Claude Code or equivalent agentic CLI tooling for test automation and subagents.
• Experience with modern test frameworks (Jest, Playwright, Cypress, pytest) and AI tooling integration.
• Understanding AI-native SDLC practices and testing where code is AI-generated.
• Experience with test architecture at scale and fast feedback loops.

Responsibilities

• Assess the engineering team's current testing maturity during discovery, identify coverage gaps and bottlenecks.
• Design and implement AI-native testing strategies to generate test cases and analyze coverage.
• Build Claude Code skills and subagents for automated test generation and data management.
• Define quality gates within AI-native SDLC for fast, automated feedback.
• Embed testing best practices through pairing, code reviews and demonstrations.
• Create reusable testing patterns and templates for use across teams.
• Ensure AI-generated code meets quality standards and testing keeps pace with delivery.

Skills

Quality engineering

Testing strategies

Unit testing

Integration testing

End-to-end testing

Tools

Claude Code

Cursor

Codex CLI

Cline

Aider

MCP servers

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
• 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

Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences - providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region supports a hybrid model that can flex across a wide spectrum of working options determined by business, customer and individual needs.

You'll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, and in office yoga sessions and massages. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day - so you can take time to support a cause close to your heart. We also love to stay social with trips to the zoo, quiz nights, sports events, theatre trips and much more.

We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation, and we actively welcome applications from people with a disability or long-term health condition. As users of the Disability Confident scheme, we guarantee to interview all disabled applicants who meet the minimum essential criteria for this vacancy.

We are committed to providing reasonable adjustments. If you require any adjustments for the application process, the interview, or the job itself, or if you need this information in an accessible format, please contact [e-mail].

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.