Technical Lead – Java, Spring & AI-Augmented Engineering

Unleash Your Potential at L’Oréal’s Beauty Tech!

Who Are We?

For 115 years, L’Oréal, the world’s leading beauty player, has devoted itself to one thing only: fulfilling the beauty aspirations of consumers around the world.

For more than a century, L’Oréal has devoted itself solely to one business: Beauty. Present in 150 countries across five continents and with €42 billion consolidated sales, L’Oréal is the global industry leader. With 37 global beauty brands across four divisions, L’Oréal offers beauty for each covering all beauty categories and catering to all beauty desires. With the acquisition of the Australian brand Aēsop in 2023, the Group continues to expand its portfolio through targeted acquisitions as part of its drive to create the future of beauty.

Today, L’Oréal includes more than 2,000 tech professionals and is constantly growing. Beauty Tech is changing the game and leading the shift towards new consumer realities and a digital disruption. Championing Beauty Tech, we invent the beauty of the future while becoming the company of the future.

Beauty Tech is how we know our consumers intimately, augmenting their beauty journeys with unparalleled diverse and sustainable experiences. Beauty Tech equips the Group with the key assets it needs to conquer this new world, where Tech has become strategic. With this ambition, L’Oréal continues to recruit diverse, innovative, skilled and passionate minds in different tech domains such as Data, Digital, Cloud, Cyber Security, IT Architecture, DevOps, Applications and Infrastructure.

A Day in the Life of Technical Lead - Java, Spring & AI-Augmented Engineering

As the Technical Lead, you are the hands-on guardian of the codebase. You will partner with our Solution Architect to translate high-level designs into high-performance Java/Spring applications. Your primary mission is to lead a squad of developers by example—mandating the use of AI coding assistants to achieve unprecedented velocity and code quality in our API and integration layers.

In this role, You will..

1. AI Coding & Velocity (Team Lead Ownership)

• AI-First Development: Standardize the use of GitHub Copilot/Cursor across the squad. You are responsible for the 20-30% productivity gain expected from AI augmentation.
• Prompt Governance: Create a library of “Prompts” for the team to generate Spring boilerplate, complex SQL mappings, and integration test suites.
• Quality Control: Ensure AI-generated code meets L’Oréal’s security and performance benchmarks (preventing “AI-hallucinated” vulnerabilities).

1. Implementation of Integration Patterns

• Pattern Execution: While the SA defines the pattern (e.g., Saga or Event-Driven), you implement it. You will write the core Spring Cloud Stream logic that ensures data consistency.
• API Craftsmanship: Build and refine REST/gRPC APIs, focusing on implementation details like custom filters, interceptors, and error-handling strategies.
• Cloud-Native Development: Architect and implement Spring Boot microservices specifically optimized for GCP (GKE, Cloud Run, Pub/Sub) or Azure (AKS, App Service, Service Bus).

1. Spring Ecosystem Expert-in-Residence

• Deep-dive into Spring Boot 3.x features.
• Lead the implementation of Spring Security (OAuth2/OIDC) and Spring Data performance tuning (Hibernate caching, query optimization).

1. Squad Mentorship & PR Leadership

• Own the Pull Request (PR) process. You are the final gatekeeper for code merging.
• Bridge the gap between the Architect’s vision and the Developer’s daily tasks.

What are we looking for?

Technical Requirements

• AI Tools (Mandatory): Expert proficiency in GitHub Copilot, Cursor, or equivalent. Ability to demonstrate “AI-assisted refactoring” of legacy Java code.
• Spring Mastery: Extensive experience in Spring Boot, Spring Cloud, and Spring Integration.
• Integration Skills: Hands-on experience with Kafka, RabbitMQ.
• Java Depth: Expert Java 17/21 (Records, Virtual Threads/Project Loom).
• Cloud Expertise: 3+ years of hands-on experience in Google Cloud (GCP) or Microsoft Azure. Certification (e.g., Google Professional Cloud Developer or Azure Developer Associate) is a significant plus.

Soft Skills & Qualifications

• Experience: 9+ years in Java Engineering, with 2+ years leading a squad.
• Pragmatism: Ability to balance “Perfect Code” with “Business Velocity” using AI.
• Leadership: Experience mentoring junior data eng…