Kering Integration & Streaming Engineer

About Kering

Kering is a global luxury group renowned for nurturing some of the world’s most influential Houses in fashion, leather goods, jewelry, and eyewear, including Gucci, Saint Laurent, Bottega Veneta, Balenciaga, and Boucheron. As an employer, Kering offers a distinctive environment where creative excellence, entrepreneurial spirit, and long-term sustainability converge. The Group empowers its talents to shape the future of luxury through innovation, craftsmanship, and responsible business practices. With an international culture grounded in diversity, inclusion, and shared ambition, Kering provides meaningful career opportunities for professionals seeking to contribute to exceptional brands while advancing a more sustainable and imaginative luxury industry.

Role & Responsibilities

• Operate, maintain, and evolve Apache Kafka platforms in multi-cloud environments, administering Kafka Streams, Connect, MirrorMaker, ksqlDB, and Schema Registry
• Define and manage SLOs and error budgets for streaming flows, monitoring consumer lag, offset gaps, and rebalancing activities
• Diagnose and resolve streaming incidents while transforming lessons learned into sustainable improvements via structured post-mortems
• Exploit generative AI tools and LLM agents to accelerate engineering and operational activities, including incident diagnosis and runbook generation
• Generate and validate integration mappings, Kafka Connect configurations, and Avro/Protobuf schemas with LLM assistance and human review for critical cases
• Operate and enhance the API Gateway platform, managing authentication, routing, rate limiting, and REST/SOAP/SFTP/Batch integration flows
• Maintain and evolve observability solutions using Kafka, Elasticsearch logging workflows, Grafana, and Kibana dashboards
• Contribute to Architecture Decision Records (ADRs) to ensure consistency and long-term sustainability of integration solutions
• Enrich the team's knowledge base with integration patterns, post-mortems, and best practices through Context Engineering principles
• Participate in Discovery Squads applying AI-SDLC practices through AI-assisted iteration cycles and specification formalization
• Animate the developer community by sharing best practices, facilitating workshops, and supporting platform adoption
• Collaborate with the Product Owner and partner teams to prioritize improvements and maximize value delivered to users

Qualifications

• Minimum 5 years of experience in Integration Engineer, Platform Engineer, or Middleware Engineer roles
• Strong proficiency in Apache Kafka and its complete ecosystem
• Proven experience with API Gateway platforms and integration patterns (REST, SOAP, messaging, SFTP, batch)
• Solid expertise in observability and monitoring solutions: Elasticsearch, Kibana, Grafana, and APM tools
• Strong command of Linux environments and networking fundamentals
• Demonstrated experience with Agile, ITIL, and DevOps practices
• Practical experience with cloud environments and Kubernetes
• Understanding of SLO and error budget concepts applied to platform reliability
• Hands-on experience with AI coding tools (GitHub Copilot, Claude Code, or equivalent) in professional contexts
• Ability to integrate LLMs into operational workflows such as troubleshooting and configuration generation
• Understanding of Prompt Engineering and Context Engineering concepts for platform engineering
• Strong influence and collaboration skills with ability to coach teams and foster communities of practice
• Results-oriented mindset with ability to drive improvements through measurable impact metrics
• Demonstrated autonomy, rigor, and analytical thinking in complex, dynamic environments
• Full professional proficiency in French and English, both written and spoken

Skills

Experience

The candidate must have at least 5 years of professional experience in integration or platform engineering roles, with demonstrated expertise in designing, implementing, and evolving robust integration solutions. Strong hands-on background in Apache Kafka and multi-cloud streaming environments is essential, along with proven ability to manage operational reliability through SLOs and incident response. Experience applying AI tools to accelerate engineering workflows and contribute to knowledge management is increasingly valued in this rapidly evolving technical domain.

Education

No specific degree requirement stated; technical expertise and professional experience are paramount.

Workplace

Culture

Kering fosters a dynamic, purpose-driven culture where creativity, entrepreneurship, and collaboration support the distinct identities of its luxury Houses. As an employer, the Group places strong emphasis on sustainability, diversity, and talent development, encouraging people to innovate responsibly while contributing to the future of modern luxury.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.