Senior Backend Engineer – Planet-Scale Pub/Sub

Dex; United Kingdom; On-site; GBP 70,000 - 110,000; Full time

Job summary

Dex is partnering with a company that builds core infrastructure for planet-scale real-time data. You will join the Pub/Sub team, owning the design, development, and optimisation of low-latency, high-availability backend services.

Expect an AI-first engineering culture that values human judgment as the ultimate quality bar while using AI tools to accelerate planning, prototyping, and iteration. This role focuses on reliability and performance at scale.

Qualifications

• Commercial, production experience with distributed systems, performance analysis, and large-scale infrastructure.
• Proven track record building or working with messaging queues and/or pub/sub systems at real scale.
• Extensive experience with a high-level server-side language; Node.js or Go preferred (a Go-heavy background, e.g. Samsara-style, maps well here).
• A strong, hands-on coder who can clear a deliberately tough technical bar.
• Practical experience using AI tooling to accelerate development, coupled with a clear understanding of where human rigour is indispensable.

Responsibilities

• Design, develop, and deploy core backend services, relentlessly focused on low latency, high availability, and scalability.
• Drive new functionality and initiatives to scale and improve the Pub/Sub platform.
• Ship new features, implement performance improvements, and execute the essential maintenance that keeps planet-scale infrastructure reliable.
• Leverage AI tools for rapid planning, prototyping, and iteration, while retaining full ownership of technical decisions and quality.

Skills

Distributed systems

Pub/Sub

Node.js/Go

Performance analysis

AI tooling

Job description

Dex is partnering with a company that builds core infrastructure for planet-scale real-time data. You will join the Pub/Sub team, owning the design, development, and optimisation of low-latency, high-availability backend services.

Expect an AI-first engineering culture that values human judgment as the ultimate quality bar while using AI tools to accelerate planning, prototyping, and iteration. This role focuses on reliability and performance at scale.