Software Engineer

• Design and implement microservices for product intelligence capabilities.
• Utilize technologies including: Spring Boot, Python, Apache Kafka, PostgreSQL with PGVector for embeddings.
• Develop and optimize multi-agent systems.
• Build event-driven architectures for high-volume data processing.
• Implement product matching algorithms using text and image similarity techniques.
• 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.
• Maintain infrastructure as code using Terraform on the Azure cloud platform.
• Participate in architectural decisions to expand the platform’s AI capabilities.
• Mentor junior team members and support engineering excellence standards.
• Integrate with various Tesco systems, including both internal and external platforms.

Key requirements:

• 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.