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# Software Development Engineer II - Personalisation Team

- **Company:** Tesco PLC
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), A/B Testing, Application Programming Interfaces (APIs), Amazon Web Services, Automation of Tests, Cloud Computing, Distributed Systems, Amazon DynamoDB, Monitoring of Systems, Machine Learning, NoSQL, Redis, Software Engineering, Systems Integration, Apache Camel, Spring-boot, Event Driven Architecture, Apache Flink, Cassandra, Data Analytics, Apache Kafka, Terraform, Stream Processing, Splunk, New Relic (SaaS), Data Pipelines, Apache Beam, Docker, Microservices
- **Published:** September 14, 2026
- **Apply:** https://www.diversifying.io/jobs/593901479-software-development-engineer-ii-personalisation-team-at-tesco-uk

## About the Role

* · Strong Java backend experience
 * · Experience building microservices and APIs
 * · Understanding of event-driven systems
 * · Familiarity with stream processing concepts
 * · Knowledge of distributed systems
 * · Strong communication and teamwork skills
 * · Interest in data-driven personalisation systems

Nice to have

 * · Experience with Apache Flink and Apache Beam
 * · Experience with Kafka
 * · Familiarity with Apache Camel
 * · Experience with NoSQL databases (Cassandra, DynamoDB) and Redis
 * · Cloud experience (GCP or AWS)
 * · Docker and Kubernetes
 * · ML model serving or feature stores
 * · A/B testing platforms
 * · Terraform or infrastructure as code
 * · Performance and scalability optimisation

## Description

Every customer is different, and we're building the technology to make every Tesco experience, You will be responsible for

 * · Building low-latency, high-throughput services for personalisation
 * · Developing Java / Spring Boot microservices with REST/gRPC APIs
 * · Working with Kafka and event-driven architectures
 * · Building pipelines using Apache Flink and Apache Beam
 * · Integrating ML models and feature stores
 * · Working with NoSQL databases and Redis caching
 * · Using Apache Camel for integration where required
 * · Collaborating with product, data science, and analytics teams
 * · Writing automated tests and improving reliability
 * · Monitoring systems using New Relic, Splunk, and metrics platforms
 * · Supporting CI/CD pipelines and deployments
 * · Contributing to experimentation (A/B testing


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