Full Stack Engineer

Role overview

What you’ll do

• Build scalable, user-facing features with React, JavaScript, and TypeScript.
• Own features from initial design through deployment.
• Develop Java or Kotlin backend services with Spring Boot in a microservices architecture.
• Use agentic AI tools, including Claude Code, MCPs, and custom skills, to improve development workflows.
• Review, test, and refine AI-generated code for quality, security, and maintainability.
• Work with APIs, databases, and event-driven architectures to deliver functionality.
• Collaborate with product, design, and engineering teams.
• Explore AI tools and techniques and help shape engineering practices.

What the employer is looking for

• At least 3 years of commercial software engineering experience, ideally with a full-stack background.
• Strong JavaScript, TypeScript, and React experience, alongside backend development experience.
• Experience with Java or Kotlin; Spring Boot is ideal.
• Regular, hands-on experience with AI-assisted or agentic development tools; Claude Code, MCPs, or custom skills are ideal.
• Strong fundamentals in testing, clean architecture, API integration, and code quality.
• Ability to critically assess AI-generated code and apply sound engineering judgment.
• Self-starter who can take ownership, work autonomously, and solve problems independently.
• Strong communication and collaboration skills for a small, cross-functional engineering team.
• Exposure to microservices, Kafka, PostgreSQL, AWS, Docker, or Kubernetes is advantageous.

Work arrangement

• Hybrid working with 2 days per week in a London office.

Compensation

• Compensation is stated as up to £85,000; the pay cadence is not specified.

Benefits and environment

• 25 days of annual leave and an emphasis on work-life balance.
• 3% employer pension contribution with enhanced matching options.
• Private healthcare through Vitality, including discounted gym memberships.
• Electric vehicle scheme, family-friendly policies, and support towards professional qualifications.
• High ownership and autonomy, with an AI-first engineering environment and opportunity to work on complex, data-driven products.