Backend Software Engineer – Distributed Systems

Overview

As a Backend Software Engineer, you will shape the core real-time messaging platform and distributed systems that power scalable interactions. You will work on high-throughput infrastructure, contributing to low-latency messaging, Pub/Sub services, and state synchronization, while leveraging AI-powered development tools. This role offers ownership of architecture and code quality in a fast-paced AI-enabled environment. You’ll collaborate with cross-functional teams to deliver production-grade software used by developers globally.

Pay / Benefits

• salary up to 120k
• EMI share option scheme
• 28 days annual leave
• enhanced maternity and parental leave
• home-station setup
• learning budget (1000 p/a + 5% time)`,`BUPA Health Insurance + dental + mental health and wellness`,`Pension, Life Assurance, Income Protection`,`fully paid one-month sabbatical at five years’ service`,`gym subsidies, Cycle to work scheme

Responsibilities

• design and build platform capabilities to scale the messaging infrastructure
• improve performance, reliability, and fault tolerance of distributed systems
• develop and operate low-latency messaging and Pub/Sub services
• work on state synchronization and next-gen AI communication infrastructure
• own architecture decisions and code quality for production-grade software
• solve complex engineering problems at scale
• collaborate in an AI-first development environment

Key requirements

• strong backend development experience with Go, Node.js or another modern server-side language
• experience building or operating distributed systems or messaging platforms
• understanding of scalability, concurrency, performance optimisation and fault-tolerant design
• ability to work autonomously in a fast-paced engineering environment
• familiarity with AI development tools while maintaining engineering quality
• experience with Pub/Sub platforms, Kafka, RabbitMQ, NATS, streaming systems or cloud infrastructure (advantage)

• autonomy
• problem-solving
• adaptability
• Go
• Node.js
• distributed systems

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