Site Reliability Engineer, Cloud Native & Automation

Algolia, Inc.; Paris; Hybrid; EUR 110.000 - 150.000; Vollzeit

Zusammenfassung

Algolia is seeking a Site Reliability Engineer to help build the next generation of our production infrastructure. You will contribute to cloud foundations, Kubernetes, automation, and reliable lifecycle operations on a cloud-native platform.

As a P3 engineer, you will be a hands-on contributor, building, operating, and improving production infrastructure while developing expertise in cloud, Kubernetes, reliability, and automation. Collaboration across teams is essential.

Qualifikationen

• Experience with AWS or GCP in production environments.
• Hands-on Kubernetes proficiency and interest in production operations.
• Familiarity with infrastructure as code, ideally Terraform.
• Programming or scripting in Python, Go, or similar language.

Aufgaben

• Build and improve Cloud Baseline capabilities (identity, access, networking, security).
• Develop and maintain infrastructure as code and automation for cloud and Kubernetes.
• Contribute to reliable, repeatable cloud and cluster lifecycle operations.
• Build self-service capabilities and reusable modules for platform consumers.
• Reduce manual work through automation, testing, GitOps, and standardisation.
• Use AI-assisted tooling to improve infrastructure analysis and documentation.

Kenntnisse

AWS/GCP

Kubernetes

Terraform

Python/Go

Linux fundamentals

Networking fundamentals

Reliability engineering

Automation/AI tooling

GitOps

Communication in distributed teams

English proficiency

Tools

Argo CD

Helm

OPA

Kyverno

Jobbeschreibung

Algolia is seeking a Site Reliability Engineer to help build the next generation of our production infrastructure. You will contribute to cloud foundations, Kubernetes, automation, and reliable lifecycle operations on a cloud-native platform.

As a P3 engineer, you will be a hands-on contributor, building, operating, and improving production infrastructure while developing expertise in cloud, Kubernetes, reliability, and automation. Collaboration across teams is essential.