Kering Cloud Engineer SRE

Employment
Full-Time
Seniority
Senior
Posted
Sep 17, 2026

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.

Kering seeks a Cloud Engineer SRE in Paris to strengthen production reliability and scale AI-augmented engineering practices within the DevSecOps Studio.

Role & Responsibilities

  • Operate and optimize cloud infrastructure across AWS (API Gateway, CloudFront, ECS, EKS, ALB), administering and maintaining production Kubernetes clusters
  • Define and track SLOs, SLIs and error budgets for critical services, ensuring alignment with business objectives
  • Design, build and maintain infrastructure using Terraform and Packer, with AI-assisted code generation as standard practice
  • Automate workflows and deployment pipelines using GitHub Actions and CI/CD practices
  • Collaborate with FinOps teams to track cloud spending, identify waste and implement measurable cost optimization recommendations
  • Maintain and enhance the observability stack (ELK, Grafana, APM, distributed tracing), ensuring effective monitoring, alerting and system visibility
  • Implement chaos engineering practices to proactively test and strengthen platform resilience
  • Transform incidents into lasting improvements through structured post-mortems and drive toil reduction via automation
  • Define and track SLOs specific to AI services: LLM latency, agent error rates, LLM Gateway availability (Galassia)
  • Implement observability for agentic pipelines, including MCP call tracing, token consumption monitoring and behavioral drift detection
  • Design and operate SRE agents for incident triage, automated runbook generation and assisted root cause analysis
  • Promote Infrastructure-as-Code, automation and DevSecOps best practices across development teams
  • Support teams in adopting platform tools and practices, explaining technical decisions and making complex concepts accessible

Qualifications

  • 5 to 8 years of experience in infrastructure or platform engineering
  • At least 2 to 3 years of hands-on experience in high-traffic production environments as an SRE, Platform Engineer or DevOps Engineer
  • Advanced proficiency with AWS (API Gateway, CloudFront, ECS, EKS, ALB)
  • Advanced command of Terraform in production environments
  • Production-grade Kubernetes administration and operations
  • Expertise with GitHub Actions for CI/CD pipeline automation
  • Proficiency with Ansible for infrastructure automation
  • Deep knowledge of the ELK and Grafana observability stack
  • Strong foundation in Linux system administration and networking fundamentals (TCP/IP)
  • Solid understanding of SLO, SLI, error budget and FinOps concepts
  • Multi-cloud knowledge is desirable
  • Hands-on experience with AI-SDLC tools (GitHub Copilot, Claude Code or equivalent) in daily engineering work
  • Demonstrated ability to design LLM-assisted SRE automations on an LLM Gateway platform
  • Proven track record of leading reliability transformations with quantified, measurable improvements
  • Experience turning incidents into lasting learnings through structured post-mortems
  • Full proficiency in French and English, both written and spoken

Skills

AWS (API Gateway, CloudFront, ECS, EKS, ALB) Terraform Kubernetes GitHub Actions Ansible ELK Stack Grafana Linux TCP/IP networking GitHub Copilot Claude Code Packer APM tools Distributed tracing SLO/SLI definition and tracking FinOps Chaos engineering LLM Gateway platforms MCP (Model Context Protocol) Post-mortem analysis

Experience

5 to 8 years of infrastructure or platform engineering experience, with a minimum of 2 to 3 years in high-traffic production environments. Demonstrated expertise as an SRE, Platform Engineer or DevOps Engineer with a proven track record of leading reliability transformations with quantified improvements, implementing chaos engineering practices and optimizing cloud infrastructure costs at scale.

Education

Not specified in source material.

Workplace

This position is based in Paris, Île-de-France, France.

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.

Frequently Asked Questions

A.

The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Kering, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Site Reliability Engineer», «Platform Engineer», «Infrastructure Engineer», «DevOps Reliability Engineer», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.

Kering

Kering Cloud Engineer SRE

Paris, France

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