Kenvueは現在、以下求人を募集しております。
Fullstack Staff Engineer – Cloud Native & AI私たちがしていること
私たちKenvueは、日々のケアが持つ驚くべき力を信じています。100年以上の伝統と科学に根ざし、Neutrogena®, Aveeno®, Tylenol®, Listerine®, Johnson’s® and BAND-AID®など、皆様が既にご存じでご愛用いただいているアイコニックなブランドを提供しています。科学は私たちの情熱であり、ケアは私たちの才能です。
Who We Are
私たちのグローバルチームは、インサイトとイノベーションに情熱を注ぎ、最高の製品をお客様にお届けすることに全力を注ぐ、多様で優秀な22,000人以上の社員で構成されています。専門知識と共感力を備えたKenvuerであることは、毎日何百万人もの人々の生活に影響を与える力を持つことを意味します。私たちは、人を第一に考え、全身全霊をもってケアし、サイエンスで信頼を獲得し、勇気をもって解決します。私たちとあなた自身の未来を、共に切り開いていきましょう。
Role reports to:
Senior Manager Platform Engineering場所:
Asia Pacific, India, Karnataka, Bangalore勤務地:
ハイブリッドあなたがすること
Kenvue is seeking a Fullstack Staff Engineer – Cloud Native to join our innovative and forward-thinking software engineering team. You will play a pivotal role in designing, building, and delivering platforms and applications that shape the future of digital healthcare for our consumer health business.
As a technical leader reporting to the Software Engineering Manager, you will drive the development, testing, and release of products that power our business. You will champion modern engineering practices, implement robust solutions in a multi-cloud, event-driven architecture, and collaborate across teams to enable high-performing, product-centric delivery.
Key Responsibilities
- Demonstrate ownership and foster a collaborative team environment.
- Lead the software development lifecycle, from design to deployment.
- Deliver high-quality features and tools aligned with reference architecture and coding standards.
- Ensure production-ready solutions for various product initiatives.
- Stay engaged with the evolving Consumer Health landscape.
Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or related field.
- 10+ years of IT experience, including at least 7+ years of hands-on software development.
Full Stack Development
- JavaScript, React.JS, Node.JS / Java
- PostgreSQL / SQL
- Cloud: Azure or AWS (preferred)
- Containerization: Docker & Kubernetes
AI Engineering & Automation
We’re looking for engineers who’ve built intelligent systems from scratch, including:
- LLM & Prompt Engineering
- Azure OpenAI / Amazon Bedrock
- Prompt chaining, context optimization, embeddings, vector stores
Retrieval-Augmented Generation (RAG)
- Agentic Workflows & Autonomous Execution
- Multi-agent systems, tool/function calling
- Robotic Business Systems (RBS), task orchestration
- Semantic search, ranking, indexing
- Document chunking, metadata tagging, latency optimization
ML Ops & Optimization
- CI/CD for model deployment
- Cost-performance tuning, caching, dynamic model routing
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