Remote SRE for AI Platform - Scale & Reliability

United States Digital Space LLC; Paris (TX); On-site; USD 80,000 - 111,000; Full time

Job summary

Algolia is seeking a Site Reliability Engineer to strengthen production fundamentals and automate complex systems at scale. You will own and operate Kubernetes-based platforms, improve reliability with observability, and drive deployment automation across AI-related workloads.

The role requires hands-on experience across cloud providers and strong scripting skills. Join a distributed team with offices in Paris, NYC, London, Sydney and Bucharest, and the option for remote or hybrid-remote work.

Qualifications

• Solid hands-on Kubernetes knowledge, including workloads, resource management, and production operations.
• Strong experience with Infrastructure as Code, and the lifecycle of cloud infrastructure.
• Solid experience building and operating CI/CD pipelines and automated deployment workflows.
• Hands-on experience with at least one major cloud provider: GCP, AWS or Azure.
• Good understanding of networking, distributed systems and reliability engineering.
• Experience with monitoring, observability and troubleshooting production systems.
• Strong automation mindset and the ability to take ownership of well-defined production systems and progressively tackle more complex problems.
• Excellent written and spoken English.

Responsibilities

• 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 turn findings into durable fixes and improvements.
• Work across networking, databases, compute and service infrastructure.
• Improve CI/CD pipelines, deployment automation and developer experience.
• Build and maintain infrastructure using Infrastructure as Code.
• Participate in on-call, incident response and operational improvements.
• Collaborate with experienced engineers across AI Platform and progressively take ownership of broader production areas.

Skills

Kubernetes

Infrastructure as Code

CI/CD pipelines

GCP

AWS

Azure

Networking

Observability

Automation

English proficiency

Tools

Go

Python

Job description

Algolia is seeking a Site Reliability Engineer to strengthen production fundamentals and automate complex systems at scale. You will own and operate Kubernetes-based platforms, improve reliability with observability, and drive deployment automation across AI-related workloads.

The role requires hands-on experience across cloud providers and strong scripting skills. Join a distributed team with offices in Paris, NYC, London, Sydney and Bucharest, and the option for remote or hybrid-remote work.