AI‑Native SDET SME — Enablement & Quality Architect

GlobalLogic Inc.; Glasgow; Hybrid; GBP 50,000 - 80,000; Full time

Benefits offered by this job

Health plan

Private healthcare

Gym membership discounts

Yoga sessions and massages

Pension scheme

Bonus/reward programs

Volunteer day

Social events

Job summary

GlobalLogic is seeking an experienced Software Development Engineer in Test to help scale QA for financial services digital transformation across cloud, data, AI, and platform modernization initiatives with a hybrid delivery model.

You will design AI-native testing strategies, develop Claude Code skills, and mentor engineers to shift quality left while accelerating delivery and maintaining high standards.

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 coverage analysis.
• Experience with modern test frameworks (Jest, Playwright, Cypress, pytest) and AI tooling integration.
• Understanding AI-native SDLC practices and testing for AI-generated augmented code.
• Experience with test architecture at scale and maintaining fast feedback loops.
• Ability to coach engineers on testing practices and shifting quality left.
• Comfortable assessing unfamiliar codebases and identifying high-impact quality improvements.
• Experience with property-based testing, mutation testing, formal verification, load/chaos testing, and SRE practices.
• Familiarity with contract testing in microservices (Pact, Spring Cloud Contract) and finance QA requirements.

Responsibilities

• Assess the team’s current testing maturity during discovery and identify coverage gaps and bottlenecks.
• Design and implement AI-native testing strategies using Claude Code to generate test cases, analyze coverage gaps, and detect regression risks.
• Build Claude Code skills and subagents for automated test generation, test data management, and intelligent test selection.
• Define quality gates in the AI-native SDLC for fast, automated feedback without delivery drag.
• Embed testing best practices through pairing, code review, and hands-on demonstrations.
• Create reusable testing patterns (frameworks, templates, agent configurations) for use across engineering teams.
• Ensure AI-generated code meets quality standards and testing keeps pace with delivery.

Skills

Quality engineering

Unit testing

Integration testing

Contract testing

End-to-end testing

Claude Code

Test automation skills

Subagents for coverage

MCP server config

Jest

Playwright

Cypress

pytest

AI tooling integration

AI-native SDLC

Test architecture

Mentoring

Codebase assessment

Property-based testing

Mutation testing

Formal verification

Performance testing

Reliability engineering

Load testing

Chaos engineering

SRE practices

Contract testing (microservices)

Pact

Spring Cloud Contract

Finance QA

Tools

Pact | Spring Cloud Contract

Claude Code

Job description

GlobalLogic is seeking an experienced Software Development Engineer in Test to help scale QA for financial services digital transformation across cloud, data, AI, and platform modernization initiatives with a hybrid delivery model.

You will design AI-native testing strategies, develop Claude Code skills, and mentor engineers to shift quality left while accelerating delivery and maintaining high standards.