Full Stack Engineer
Y TREE
Greater London, UK
11 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
JavaScript (Programming Language)
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Relational Databases
Database Theory
DevOps
Programming Tools
PostgreSQL
Cloud Services
TypeScript
+11 more
ReactJS
Spring-boot
Backend
Kotlin
Event Driven Architecture
Containerization
Kubernetes
Apache Kafka
Graphql
Docker
Microservices
Job description
- Full Stack Adaptability: Take ownership of domain software, contributing to our event-driven microservices platform when backend support is needed.
- AI Engineering: Leverage agentic coding tools (e.g., Claude Code) across the full development lifecycle, reviewing and hardening AI-generated outputs to maintain rigorous quality standards.
- Agile Delivery: Collaborate in a two-week delivery window to plan, develop, and release secure, cost-efficient features., * Health & Wellbeing: Private healthcare through Vitality (including 50% off premium gym memberships) and an Employee Assistance Programme.
- True Time Off: 25 days of annual leave where we expect you to fully unplug-no booking leave required for quick life appointments.
- Financial Future: 3% standard employer pension contribution, with enhanced company matches available via salary sacrifice.
- Environment: A welcoming, dog-friendly office with break-out spaces and silent booths, alongside regular, well-balanced team socials.
- Extra Perks: Electric car schemes, family-friendly policies, and support towards professional qualifications.
Requirements
- Experience: 3+ years of experience as a front-end engineer utilizing JavaScript/TypeScript and the React library.
- AI-Assisted Workflow: Daily practical experience with AI-assisted or agentic development tools, with the engineering judgment needed to audit and refine AI outputs.
- Modern Engineering Practices: Familiarity with TDD principles, clean architecture concepts, and consuming APIs (e.g., GraphQL).
- Mindset: An independent, critical thinker who thrives in collaborative, small-team environments and values continuous feedback.
Bonus Points
- Backend development experience in Java or Kotlin (ideally Spring Boot).
- Understanding of microservices, database concepts (RDBMS/PostgreSQL), and event-driven architectures (Kafka).
- Familiarity with containerization (Docker) or cloud deployments (AWS/Kubernetes).
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