AI Platform SRE: Scale Kubernetes & Automation

Algolia, Inc.

Paris

Hybride

EUR 70 000 - 95 000

Plein temps

Il y a 35 heures
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Avantages offerts par ce poste

Flexible workplace
Remote or hybrid options

Résumé du poste

Algolia is hiring a Site Reliability Engineer to build and operate production infrastructure for AI-related workloads. You will manage a Kubernetes-based platform, implement IaC, and enhance CI/CD pipelines to improve reliability and developer experience.

You will own production systems, collaborate across teams, and drive on-call and incident response while maintaining security and scalability at scale. Fluency in English is required for global collaboration.

Qualifications

  • Solid hands-on Kubernetes knowledge and production operations experience.
  • Experience with Infrastructure as Code and cloud infrastructure lifecycle.
  • Experience building and operating CI/CD pipelines and automated deployment workflows.
  • Hands-on with at least one major cloud provider (GCP, AWS or Azure).
  • Understanding of networking, distributed systems and reliability engineering.
  • Experience with monitoring and observability of production systems.
  • Strong automation mindset and ownership of production systems.
  • Excellent written and spoken English.

Responsabilités

  • Build and operate production infrastructure supporting AI-related workloads and services.
  • Operate and improve highly available Kubernetes-based platforms.
  • Improve reliability through SLOs, observability, alerting and capacity management.
  • Investigate production issues and implement durable fixes and improvements.
  • Collaborate across networking, databases, compute and service infrastructure.
  • Improve CI/CD pipelines and deployment automation.

Connaissances

Kubernetes
Infrastructure as Code
CI/CD
Cloud
Networking
Observability
Automation
English

Outils

Kubernetes
Terraform
CI/CD Tools
AWS
GCP
Azure

Description du poste

Algolia is hiring a Site Reliability Engineer to build and operate production infrastructure for AI-related workloads. You will manage a Kubernetes-based platform, implement IaC, and enhance CI/CD pipelines to improve reliability and developer experience.

You will own production systems, collaborate across teams, and drive on-call and incident response while maintaining security and scalability at scale. Fluency in English is required for global collaboration.

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