Enablement Pod Test/SDET SME

Hitachi, Ltd.; Glasgow; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Health & wellbeing plan

Private healthcare

Pension scheme

Volunteer day

Social events

Job summary

GlobalLogic seeks an experienced Software Development Engineer in Test to lead AI-native testing efforts across large-scale digital transformation projects. You will design testing strategies, generate test cases from requirements, and ensure coverage keeps pace with AI-enhanced delivery.

Join a team that embraces agile practices, emphasizes fast feedback, and fosters continuous learning across global squads. The role offers hybrid work and a comprehensive benefits package.

Qualifications

• Strong quality engineering background across unit, integration, contract, and end-to-end testing.
• Hands-on with Claude Code (or equivalent agentic CLI tooling) and building subagents for coverage analysis.
• Experience with modern test frameworks: Jest, Playwright, Cypress, pytest.
• Understanding of AI-native SDLC practices for AI-generated or augmented code.
• Experience with test architecture at scale and maintaining fast feedback loops.
• Ability to coach engineers on testing practices and shift quality left.
• Comfort assessing unfamiliar codebases for high-impact quality improvements.

Responsibilities

• Assess the engineering team’s testing maturity during discovery and identify gaps in coverage 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 to enable fast automated feedback.
• Embed testing best practices through pairing, code reviews, and hands-on demos.
• Create reusable testing patterns and configurations for cross-team reuse.
• Ensure AI-generated code meets quality standards and testing pace keeps up with delivery.

Skills

Quality engineering

Testing strategies

AI testing

Coaching

Quick codebase review

Tools

Claude Code

Jest

Playwright

Cypress

pytest

Job description

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

Why work at GlobalLogic

Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering our 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 also supports a hybrid model which can flex across a wide spectrum of working options determined by our business, customer and individual needs.

• You’ll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), and discounted gym memberships.
• 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 at our 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.

About GlobalLogic

GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next-generation products and digital experiences. We expertly integrate design, complex engineering, and agile delivery capabilities to deliver superior business outcomes for global brands in telecom, automotive, healthcare, technology, media and entertainment, manufacturing, and semiconductor industries.

Headquartered in Silicon Valley, GlobalLogic employs over 25,000 designers and engineers across the globe. Analysts like NASSCOM and Zinnov have recognized us for being a top company in our field, and we are consistently nominated as a preferred employer by both global HR consultative firms and local job boards. By creating a work environment that is exciting and flexible, and by fostering growth through ongoing learning and development programs, we empower our employees to achieve both their professional and personal goals.

At GlobalLogic, we make amazing products — and careers.