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