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Senior Software Engineer
Location: Reading, King’s Road
Posted: More than 30 days ago
Job Type: Regular
Ref: R100574
Two colleagues having a chat whilst sat in chairs under the stairs.

Why this job is important

As a Senior Software Engineer in our Digital Twins Division, you’ll help build the systems behind one of Kantar’s most ambitious AI products. Your work will enable thousands of AI‑driven “digital twins” to simulate real‑world consumer behaviour in real time, giving brands powerful insight into complex decisions.

This isn’t a traditional full‑stack role. You’ll focus on scalable backend systems, event‑driven architectures, and AI‑enabled platforms, working closely with product, data science and platform teams to turn advanced AI capabilities into reliable, production‑ready systems. Your work will directly shape how clients interact with data and insights at scale.

What you’ll be doing

You’ll spend your time designing and building technology that can grow with our ambition, including:

  • Creating scalable, distributed backend services for AI‑driven applications
  • Building event‑driven systems that process large volumes of behavioural data in real time
  • Developing services in Node.js/TypeScript and/or Python
  • Designing APIs that support high‑throughput, low‑latency workloads
  • Helping orchestrate and optimise AI agent‑based systems running at scale

You’ll also contribute to technical direction, mentor others, and help us continuously improve how we build and operate our platforms.

The skills & experience you’ll bring

You don’t need to tick every box, but experience in several of the following will set you up for success:

  • Strong backend engineering experience with cloud‑based systems (Azure, AWS or GCP)
  • Experience designing distributed or event‑driven architectures (Kafka or similar)
  • 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

Experience with LLMs, AI agent orchestration, or tools such as RAG, vector databases or LangChain is a bonus, but not essential.

What’s in it for you

  • Flexible hybrid working
  • 25 days leave, 2 days paid for volunteering and life event leave
  • Competitive salary and bonus (bonus dependent on role)
  • Company pension
  • Enhanced parental leave
  • Healthcare options
  • Wide range of flexible benefits

We are not able to offer visa sponsorship or assist with relocation support for this role. Please ensure you have the right to work in the country where this role is located before applying.

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