Software Engineer - Backend (Product Intelligence)

Tesco Poland

Kraków

On-site

PLN 70,000 - 90,000

Full time

14 days+

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Job summary

Tesco Poland is seeking a Software Engineer to join their Product Intelligence Platform team. This role focuses on developing AI-driven solutions using technologies like Java, Spring Boot, and Python, and building scalable microservices on Azure Kubernetes Service. You will collaborate across teams and contribute significantly to enhance product capabilities.

Tesco emphasizes diversity in hiring and offers an inclusive work environment where everyone is encouraged to thrive.

Qualifications

  • Solid experience with Java and Spring Boot for building enterprise-grade applications.
  • Basic knowledge of Python.
  • Good understanding of event-driven architectures and Apache Kafka.

Responsibilities

  • Developing and implementing microservices for product intelligence capabilities.
  • Collaborating with product managers and data scientists to translate business requirements into technical solutions.
  • Contributing to infrastructure as code using Terraform on the Azure cloud platform.

Skills

Java
Spring Boot
Python
Apache Kafka
PostgreSQL
Kubernetes
RESTful API design
CI/CD

Tools

Terraform
Azure Kubernetes Service

Job description

The Product Intelligence Platform is an AI-driven system that transforms how Tesco handles product data at scale. The platform leverages multi-agent AI systems to automate product categorization, enrichment, and matching across a vast number of products on a weekly basis. Built on event-driven architecture using Kafka, the platform processes millions of events monthly through core AI capabilities. A Software Engineer in this team will help build and maintain these AI-powered capabilities using Java/Spring Boot and Python, develop scalable event-driven microservices on Azure Kubernetes Service, and work with LLMs to solve product intelligence challenges. The role suits someone who enjoys connecting AI technology, engineering, and practical business needs, and who wants to grow while contributing to a platform that impacts millions of customer interactions weekly.

  • Developing and implementing microservices for product intelligence capabilities.
  • Working with technologies including: Spring Boot, Python, Apache Kafka, PostgreSQL with PGVector for embeddings
  • Contributing to the development of multi-agent systems.
  • Building event-driven services for high-volume data processing.
  • Implementing product matching logic using: text similarity techniques, image similarity techniques
  • Helping ensure system scalability and reliability to process over 1 million events per week.
  • Collaborating with product managers and data scientists to translate business requirements into technical solutions.
  • Contributing to infrastructure as code using Terraform on the Azure cloud platform.
  • Contributing to architectural discussions as the platform's AI capabilities grow.
  • Sharing knowledge with teammates and upholding engineering excellence standards.
  • Integrating with various Tesco systems, including both internal and external platforms.
Mandatory Skills
  • Solid experience with Java and Spring Boot for building enterprise-grade applications.
  • Basic knowledge of Python.
  • Good understanding of event-driven architectures and Apache Kafka.
  • Experience with cloud platforms, preferably Azure.
  • Familiarity with Kubernetes for container orchestration.
  • Working knowledge of databases, including PostgreSQL and NoSQL solutions.
  • Experience with RESTful API design and microservices architecture.
  • Understanding of software engineering best practices, including CI/CD, testing, and code review.
  • Comfort working with distributed systems.
Nice-to-Have Skills
  • Experience with Large Language Models (LLMs) and prompt engineering.
  • Knowledge of vector databases and embedding technologies like PGVector.
  • Familiarity with machine learning frameworks and computer vision.
  • Experience with Infrastructure as Code (IaC) using Terraform.
  • Knowledge of the retail or e-commerce domain.
  • Experience with Couchbase or similar NoSQL databases.
  • Understanding of data quality and governance principles.
  • Previous experience building AI-powered applications.
  • Experience working with multi-agent systems.

Tesco is committed to celebrating diversity and everyone is welcome at Tesco. As a Disability Confident Employer, we’re committed to providing a fully inclusive and accessible recruitment process, allowing candidates the opportunity to thrive and inform us of any reasonable adjustments they may require.

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