Full Stack Engineer

Lorien; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

Lorien in London is seeking an engineer who understands how software works beyond writing code and can make sound technical decisions.

You will design scalable systems, own core components, and collaborate across teams while applying best practices in architecture, design, and observability. The role emphasizes hands-on engineering and thoughtful trade-offs rather than relying on AI-generated code.

Qualifications

• Solid understanding of system architecture, software engineering principles, and system design.
• Hands-on experience with CI/CD pipelines.
• Strong understanding of APIs and backend integrations.
• Experience with observability, including metrics, logs, traces, latency, and monitoring.
• Good understanding of distributed systems vs. microservices.
• Experience explaining technical decisions, trade-offs, deployments, and system improvements.
• Practical experience working with LLMs, including prompting, querying, and understanding their limitations.
• Comfortable using AI as a development aid, while maintaining strong coding ability and engineering judgement-this role requires hands-on software engineering, not reliance on AI-generated code.

Skills

System architecture

Software engineering principles

System design

Java

APIs & backend integrations

Observability

Distributed systems

Explain technical decisions

LLMs prompting

Hands-on software engineering

Education

Bachelor's degree

Tools

CI/CD pipelines

Job description

We're seeking an engineer, not just a coder - someone who understands how software works beyond writing code and can make sound technical decisions.

Key requirements:

• Solid understanding of system architecture, software engineering principles, and system design
• Previous Java experience is highly desirable
• Hands-on experience with CI/CD pipelines
• Strong understanding of APIs and backend integrations
• Experience with observability, including metrics, logs, traces, latency, and monitoring
• Good understanding of distributed systems vs. microservices
• Experience explaining technical decisions, trade-offs, deployments, and system improvements
• Practical experience working with LLMs, including prompting, querying, and understanding their limitations
• Comfortable using AI as a development aid, while maintaining strong coding ability and engineering judgement-this role requires hands-on software engineering, not reliance on AI-generated code.

This opportunity is ideal for developers who enjoy solving complex engineering challenges, building scalable systems, and taking ownership of the products they create.