Enablement Pod Test/SDET SME IRC304277

GlobalLogic Inc.

Glasgow

Hybrid

GBP 50,000 - 80,000

Full time

4 days ago
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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

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 experiencedSoftware Development Engineer in Test

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
  • Key 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
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 uki-careers@globallogic.com .

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.

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