Backend Engineer - Go/Node, Distributed Systems + Equity

Client Server; Greater London; Hybrid; GBP 98,000 - 120,000; Full time

Benefits offered by this job

Equity

28 days leave

Home-office setup

Learning budget

Health insurance

Job summary

Client Server is hiring a Backend Software Engineer to build distributed systems using Go, Node.js and modern server-side tech. You will contribute to a real-time messaging platform powering developers and businesses worldwide, delivering scalable, low-latency services.

This role supports a hybrid/remote setup with North London office meetups, equity and a competitive salary. You will shape architecture, own quality and help drive AI-enabled tooling in a fast-growing environment.

Qualifications

• Backend experience with Go or Node.js and modern server-side languages.
• Experience building or operating distributed systems and messaging platforms.
• Understanding of scalability, concurrency and fault-tolerant design.
• Ability to work autonomously in a fast-paced engineering environment.
• Interest in AI tooling and production-grade development.

Responsibilities

• Design and build core messaging platform components for real-time systems.
• Improve performance, reliability and scalability of distributed services.
• Own architecture decisions and maintain high code quality.
• Collaborate across teams to deliver production-grade software.

Skills

Go/Node.js backend

Distributed systems

Scalability & performance

Autonomous work style

AI tooling awareness

Pub/Sub / messaging tech

Tools

Kafka

RabbitMQ

NATS

Cloud infrastructure

Job description

Client Server is hiring a Backend Software Engineer to build distributed systems using Go, Node.js and modern server-side tech. You will contribute to a real-time messaging platform powering developers and businesses worldwide, delivering scalable, low-latency services.

This role supports a hybrid/remote setup with North London office meetups, equity and a competitive salary. You will shape architecture, own quality and help drive AI-enabled tooling in a fast-growing environment.