Software Engineer - Backend (Product Intelligence)

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NieokreśloneHybryda·KrakówFull-time

#471107·Dodano 6 dni temu·2

Źródło: Tesco Technology

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Tech Stack / Keywords

Java Spring Boot Python Apache KafkaAzure Kubernetes ServicePostgreSQLPGVectorTerraform LLMs Kubernetes

Podsumowanie oferty

Build and maintain AI-powered product intelligence capabilities for Tesco’s Product Intelligence Platform, which automates product categorization, enrichment, and matching. Develop scalable, event-driven microservices using Java, Spring Boot, Python, and Apache Kafka on Azure Kubernetes Service.

Wymagania

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:

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.

Obowiązki

Develop and implement microservices for product intelligence capabilities.
Work with Spring Boot, Python, Apache Kafka, and PostgreSQL with PGVector for embeddings.
Contribute to the development of multi-agent systems.
Build event-driven services for high-volume data processing.
Implement product matching logic using text similarity and image similarity techniques.
Help ensure system scalability and reliability to process over 1 million events per week.
Collaborate with product managers and data scientists to translate business requirements into technical solutions.
Contribute to infrastructure as code using Terraform on the Azure cloud platform.
Contribute to architectural discussions as the platform's AI capabilities grow.
Share knowledge with teammates and uphold engineering excellence standards.
Integrate with various Tesco systems, including internal and external platforms.

Tesco Technology

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