Site Reliability Engineer, AI Platform at Algolia

Algolia is seeking a Site Reliability Engineer to join its AI Platform team. This role is based in Paris, France, and involves building core components to speed up AI delivery by providing other teams with tools, frameworks, and features for AI development and productionization.

The ideal candidate will focus on outcomes, use data to drive decisions, and possess a passion for reliability, scalability, and automation. The AI Platform team consists of Site Reliability Engineers and Machine Learning specialists with a strong focus on Data Engineering.

The role involves:

• Implementing, maintaining, and improving the infrastructure that powers the AI Platform.
• Ensuring the reliability and performance of Kubernetes-based deployments across cloud providers (GCP, AWS, Azure).
• Developing and maintaining infrastructure as code.
• Optimizing CI/CD pipelines and deployment processes.
• Enhancing monitoring, observability, and alerting systems.
• Contributing to incident response and post-mortem analysis.

Requirements:

• Hands-on experience with Kubernetes and container orchestration in production environments.
• Experience with cloud providers (GCP, AWS, or Azure).
• Experience with automation and infrastructure as code (e.g., Terraform).
• Solid knowledge of CI/CD pipelines and deployment automation.
• Familiarity with monitoring and observability tools (e.g., Datadog).
• A problem-solving mindset and a proactive approach to improving system reliability.
• Excellent spoken and written English skills.

The role offers:

• Opportunity to work on a platform that powers AI at scale.
• Be part of a flexible workplace, where remote work is an option dependening on the location.