Senior Back End Engineer

John Lewis
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Geospatial Data Scientist

Senior Data Scientist

MLOps Engineer- Contract Role

Sr Product Manager, Data Science

Senior Machine Learning Engineer

Senior Machine Learning Engineer, Gen AI

What’s the role about? As the UK’s most successful omni-channel retailer, E-Commerce is a key part of Our Business - we run two of the busiest websites in the UK, driving a significant proportion of our sales. Our Engineering practice includes 60+ teams, working on everything from Cloud Platforms to Mobile Apps, from E-Commerce functionality to Machine Learning. Our Engineers work collaboratively and share knowledge, and learning is extremely important to us. We support our Engineers to continuously improve their skills and keep abreast of the latest technologies. Find out more about being a Software Engineer in the Partnership, and the technology we use. (Link->https://www.jlpjobs.com/engineering-jobs/) What you’ll be doing? This is an opportunity to join one of our agile product teams working as a Senior Back-End Software Engineer. You will be using your excellent Kotlin or Java skills to build and support new features adding value for Our Business. As a Senior Engineer, you will also use your knowledge of Software Engineering to lead the shaping of new projects and support the professional development of less experienced Engineers. There are opportunities to become a people manager for your fellow engineers if that is something that appeals to you. Successful candidates will have a passion for using technology to deliver outstanding and innovative software solutions, and will have a track record of working in teams delivering complex, performant, high quality software. What you’ll already have: Expertise in either server side Kotlin or a modern version of Java. A structured approach to systems analysis and development. A good understanding of Microservice Architectures. Experience with application frameworks such as http4k or Spring Boot. An understanding of Agile development methods such as Scrum or Kanban. Familiarity with techniques like TDD, pair programming. Continuous Integration/Continuous Delivery. REST API development and/or consumption. What else you could bring: Experience with Cloud Platforms such as AWS, GCP or Azure. Docker, Kubernetes. Jenkins, Gitlab CI. Where will you be working?: We have opportunities at both our John Lewis Head Office in London Victoria and Waitrose Head Office in Bracknell, Berkshire. We have a blended hybrid approach of working from our offices and a home/remote UK location. You are contracted to a Partnership office location. If you choose to work remotely you should be aware that from time to time, you will need to come into the office. This decision is made within your team. What benefits do we offer you?: We believe in rewarding our Partners for their time and energy. Find out about the (Link->https://www.jlpjobs.com/about/benefits/) How does our application process work?: In order to help you understand what to expect, we have created an overview of our application process.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.