Lead Software Development Engineer in Test
About Fuse Universal
We're Fuse. Our mission is to transform the way people learn and grow at work. Since launching in 2008, our award-winning, AI-powered platform has helped global brands like Jaguar Land Rover, Macmillan, Hilti, and Lotus Cars to unlock the knowledge within their teams, creating everyday learning moments that drive real impact. With a passionate, diverse team of over 100 Fusers across the UK, Europe, South Africa, India, and Singapore - we’re proud to lead the future of workplace learning.
We believe the best work happens when people are trusted to work how and where they thrive. Our culture is built on collaboration, high performance, and continuous improvement - offering a flexible and supportive environment where your ideas truly matter. If you’re excited by innovation and want to be part of a global team shaping the future of learning, Fuse is the place for you.
About this role
In this remote position, we are seeking a visionary Lead SDET to spearhead our quality engineering department. The ideal candidate has deep roots in core testing principles but is at the forefront of using AI agents to solve the "maintenance trap" and accelerate sprint velocity.
About the team
At Fuse, we don’t view Quality as a department - we view it as a competitive advantage. Our Quality Engineering team doesn’t sit at the end of the conveyor belt; we are the architects of the belt itself. We build the frameworks, infrastructure, and observability tools. We treat our test suites with the same respect as production services. That means peer reviews, SOLID principles, and high-performance CI/CD integration. With QA members blended in different squads with a PM and engineering lead, QA is highly responsible for owning the areas of the product, and are guided by KPIs specific to those product areas. The squads then follow modern delivery practices to ship high quality deliverables.
Your Responsibilities
AI Integration
- AI Tooling Architecture: Evaluate and implement next-gen AI testing platforms (e.g., mabl, Testim, or autonomous agentic frameworks) to achieve self-healing test suites.
- Workflow Automation: Design "Agentic Workflows" where AI agents handle test data generation, autonomous bug triaging, and documentation.
- Velocity Optimization: Partner with QA team, DevOps and Engineering Leads to integrate AI gates into the CI/CD pipeline, reducing feedback loops from hours to minutes.
Automation Engineering
- Framework Evolution: Maintain and scale existing frameworks (Javascript, Selenium, and Appium) while systematically migrating brittle components to AI-driven locators.
- Cross-Platform Testing: End-to-end testing across Web, Mobile (iOS/Android), and API layers.
- Performance & Security: Lead the implementation of automated performance "smoke tests" and basic security vulnerability scanning within the automation suite.
Quality Mentorship & Process
- Lead the STLC: Drive the full Software Testing Life Cycle, from requirement analysis to production release.
- Mentorship: Assist in code reviews for automation scripts and mentor junior engineers on prompt engineering for QA and advanced debugging.
Requirements
Technical Proficiency
- Core Automation: 6-7 years of experience in test automation using Python, Java, or Javascript/TypeScript.
- AI/LLM Knowledge: Hands-on experience using LLMs for test case generation or working with autonomous AI agents that utilize self-healing locators.
- Testing Breadth: Proven expertise in:
- Functional Testing: Regression, Sanity, and Integration.
- Non-Functional: Load, Stress, and Accessibility (A11y) testing.
- API Testing: Proficient with Postman, RestAssured, or similar.
Leadership & Soft Skills
- 2+ years in a Lead/Senior role: Experience leading a team of testers
- Agile Mastery: Deep understanding of Sprint working and how to use AI to inflate Sprint Velocity.
- Analytical Mindset: Ability to look at a test failure and distinguish between a "flaky" environment, an AI hallucination, and a genuine product defect.
Preferred Qualifications
- Experience building custom AI wrappers for testing (using LangChain or similar).
- Certification in Cloud Platforms (AWS/Azure/GCP).
- Background in Data-Driven Testing and managing large-scale synthetic datasets.
Benefits
- Remote first and flexible working
- L&D - peer and platform learning - it’s at the heart of what we do
- Home-working / Wellbeing allowance
- Perkbox - wide ranging benefits; discounted shopping and services
- Employee Assistance Programme
- Private Medical Insurance
- Gratuity Benefit
- 18 days annual leave + public holidays + your birthday off
- 12 days sick pay p/a
- 2 days Marriage Leave
- 5 days Bereavement Leave p/a
- Enhanced maternity & paternity leave
- Company socials
- Employee recognition awards: Employee of the Month, Long service awards, Employee referral scheme