Senior Backend Engineer for AI‑Driven Platforms

Kantar; Reading; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Flexible hybrid working

25 days leave

2 days volunteering leave

Life event leave

Competitive salary and bonus

Company pension

Enhanced parental leave

Healthcare options

Wide range of flexible benefits

Job summary

Kantar is seeking a Senior Software Engineer for the Digital Twins Division in Reading to build scalable backend systems powering AI-driven digital twins that simulate consumer behaviour in real time.

You will work with product, data science and platform teams, focusing on event-driven architectures, Node.js/TypeScript and Python services, and help evolve our AI-enabled platforms while mentoring others.

Qualifications

• Experience designing scalable backend systems in cloud environments.
• Experience designing distributed or event-driven architectures (Kafka).
• Proficiency in TypeScript/Node.js and/or Python.
• Experience building scalable APIs and microservices.
• Working knowledge of containers and cloud-native delivery approaches.
• Curiosity about AI-enabled systems and how they scale responsibly.

Responsibilities

• Create scalable, distributed backend services for AI-driven applications.
• Build event-driven systems that process large volumes of behavioural data in real time.
• Develop services in Node.js/TypeScript and/or Python.
• Design APIs that support high-throughput, low-latency workloads.
• Help orchestrate and optimise AI agent-based systems running at scale.

Skills

Backend engineering

Cloud platforms

Event-driven architecture

TypeScript/Node.js

Python

APIs & microservices

Containers / cloud-native

AI-enabled systems

Tools

Kafka

LangChain

RAG

Vector databases

Job description

Kantar is seeking a Senior Software Engineer for the Digital Twins Division in Reading to build scalable backend systems powering AI-driven digital twins that simulate consumer behaviour in real time.

You will work with product, data science and platform teams, focusing on event-driven architectures, Node.js/TypeScript and Python services, and help evolve our AI-enabled platforms while mentoring others.