puestos en Tesco en Gran Bretaña

Tesco’s Lists and Substitutions Team sits at the heart of the Product Discovery space, powering features like your Favourites, Usuals, and the Substitution Carousel across tesco.com and our mobile apps. If you’ve shopped with us, you’ve seen our work.

We are looking for a Senior Software Engineer (SDE3) to join our collaborative, self-organising team of seven engineers. You’ll be responsible for designing and building fast, scalable APIs that serve rich, personalised data experiences to millions of customers.

Latency is our most critical metric. Our services are highly visible and must respond quickly — even as they aggregate and transform data from internal ML models and personalised data sources. You'll collaborate with data science teams, frontend engineers, and other Product Discovery squads to ensure that the APIs we expose are fast, resilient, and a pleasure to use.

·Designing and implementing performant APIs using Spring Boot

·Working closely with Product to shape requirements and plan delivery

·Collaborating with peers to build features from end-to-end — from idea to live monitoring

·Ensuring high availability and low latency through thoughtful caching strategies, load testing, and observability

·Using New Relic and Splunk for monitoring, and participating in on-call rotations

·Making critical decisions around data modelling and system architecture using Couchbase, Redis, and Azure

·Working with Kubernetes to deploy and manage services

·Collaborating with teams across Tesco Technology to build cohesive, customer-centric experiences

·Extensive experience building and scaling backend APIs using Java

·Solid understanding of Spring Boot, RESTful design principles, and microservice architecture

·Deep experience with NoSQL databases (Couchbase experience is a plus)

·Experience with distributed systems, and a clear understanding of how to optimise for performance and resilience

·An ownership mindset: you build it, you ship it, you own it — including observability and incident response

·A collaborative approach, and experience working closely with Product, Design, and Data teams

·Familiarity with tools and platforms like Redis, New Relic, Splunk, and Azure

·Working knowledge of Kubernetes for deployment and operations

·Experience with Kafka or other messaging/event systems

·Knowledge of caching strategies and how to balance them with data freshness and performance