Tesco Technology

Software Engineer - Backend (Product Intelligence)

20k - 25k PLN20 000 - 25 000 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

MidHybryda·KrakówFull-time·Umowa o pracę

#362351·Dodano 5 miesięcy temu·17

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Java Spring CI/CD SQLDesign systemKubernetes Docker Azure Microservices Python Kafka REST API Machine learningIaCAINoSQL

Firma i stanowisko

The Product Intelligence Platform at Tesco is an AI-driven system that automates product categorization, enrichment, and matching across a large product catalog using multi-agent AI systems. The platform processes millions of events monthly on Azure Kubernetes Service, leveraging event-driven architecture with Kafka and core AI capabilities. The team focuses on building scalable event-driven microservices and integrating AI technologies to improve product data handling at scale.

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

Developing and implementing microservices for product intelligence capabilities.
Working with technologies including Spring Boot, Python, Apache Kafka, and PostgreSQL with PGVector for embeddings.
Contributing to the development of multi-agent AI systems.
Building event-driven services for high-volume data processing.
Implementing product matching logic using text and image similarity techniques.
Ensuring 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.
Participating in architectural discussions as the platform's AI capabilities evolve.
Sharing knowledge with teammates and upholding engineering excellence standards.
Integrating with various Tesco internal and external systems.

Benefity

Up to 20% yearly salary bonus based on individual and business performance.
Permanent contract from the start.
Tax-deductible expenses (IP).
Private healthcare (LuxMed).
Cafeteria & Multisport benefits.
Additional 4 days of paid leave.
Increase in annual leave from 20 to 25 days for those not yet eligible for full holiday entitlement.
Certified technical training and access to a learning platform (Udemy).
Back-to-school day: 1 day off for parents of primary school children.
Fertility leave: up to 2 weeks of paid leave for IVF treatment.
Sports activities with a personal trainer in the office.
Referral bonus.
MacBook as a work tool.
Hybrid working with 60% office presence in Kraków.

Premie

Opieka zdrowotna

Karta sportowa

Płatny urlop

Dofinansowanie szkoleń

Inne informacje

This role requires the candidate to be based in or near Kraków, Poland, as 60% of the workweek is spent collaborating onsite at office locations or local sites, with the remainder remote.

Tesco Technology

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