Senior Software Engineer (API) Java, Spring, Python & AI-Augmented Engineering

Job Description

Unleash Your Potential at LOrals Beauty Tech!Who Are We For 115 years, LOral, the worlds leading beauty player, has devoted itself to one thing only: fulfilling the beauty aspirations of consumers around the world.For more than a century, LOral has devoted itself solely to one business: Beauty. Present in 150 countries across five continents and with 42 billion consolidated sales, LOral is the global industry leader. With 37 global beauty brands across four divisions, LOral offers beauty for each covering all beauty categories and catering to all beauty desires. With the acquisition of the Australian brand Asop in 2023, the Group continues to expand its portfolio through targeted acquisitions as part of its drive to create the future of beauty.Today, LOral 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, LOral 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 Senior Software Engineer (API) Java, Spring, Python & AI-Augmented EngineeringWe are looking for a hands-on Senior Software Engineer to join our development squad and work directly with the Technical Lead to execute our integration strategy. You will be responsible for the build part of the blueprint. This role focuses on delivering robust, high-performance REST/gRPC APIs and event-driven microservices using Java, Spring Boot, and messaging queues. While Java is our primary stack, proven experience with Python web frameworks (FastAPI, Flask, or Django) is a significant plus for polyglot integration projects. You will collaborate with the Tech Lead to ensure AI coding assistants are used effectively, code adheres to security benchmarks, and integrations are deployed reliably.In this role, You will.AI-Augmented Development (Execution Focus)AI Productivity: Actively use GitHub Copilot, Cursor, or equivalent to generate code, complex SQL mappings, and integration test suites, following the squads standardized Prompt Library established by the Tech Lead.Code Quality & Security: Review AI-generated code to prevent hallucinated vulnerabilities, ensuring all output meets performance and security benchmarks before submission.Test Automation: Leverage AI to generate comprehensive unit and integration test suites for both Java and (where applicable) Python components, increasing test coverage and reducing manual testing overhead. API & Integration BuildDevelopment: Implement core business logic using Spring Cloud, Kafka, or RabbitMQ to support integration patterns (e.g., Saga, Event-Driven) defined by the Solution Architect and Tech Lead.API Craftsmanship (Java): Design, build, and refine RESTful and gRPC APIs with a focus on implementation detailsincluding custom filters, interceptors, error handling, and response serialization.Polyglot Support (Python): Contribute to or maintain API services written in FastAPI, Flask, or Django where required, supporting cross-team integration needs or legacy system migrations.Cloud-Native: Develop microservices optimized for GCP (GKE, Cloud Run, Pub/Sub) or Azure (AKS, App Service, Service Bus), following the squads deployment standards. Spring, Java & Python Excellence (The How )Spring Ecosystem (Mandatory): Deep-dive into Spring Boot 3.x features, Spring Security (OAuth2/OIDC), and Spring Data/Hibernate configurations (optimization, caching strategies, N1 query prevention).Python Ecosystem (Preferred): When working in Python, adhere to best practices using FastAPI async capabilities, Flask blueprints, or Django REST framework for rapid prototyping or integration layers.Performance Tuning: Profile API endpoints and database access layers across both stacks to ensure low latency and high throughput. Collaboration with Tech LeadPR Participation: Participate in Pull Request reviews, upholding the quality gates set by the Tech Lead. Provide constructive feedback to peers to maintain a clean, scalable codebase.Mentorship: Mentor junior developers in Java best practices, Spring patterns, and effective AI tool usage. Act as a resource for Python-related questions where applicable.CI/CD Execution: Work alongside the Tech Lead and DevOps to refine CI/CD pipelines (Git, GitHub Actions, or Jenkins), ensuring smooth, zero-downtime deployments.What are we looking for Technical RequirementsAI Tooling: Proven .

Keyskills :
JavaSpringPythonRESTFlaskDjangoAIAugmented EngineeringgRPCFastAPI