Senior Site Reliability Engineer, AI Research

🕒 January 20

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Logo of Algolia

Algolia

201 - 500 employees

Founded 2012

🤖 Artificial Intelligence

☁️ SaaS

🛍️ eCommerce

💰 $150M Series D on 2021-07

Artificial Intelligence • SaaS • eCommerce

Algolia is an innovative company specializing in AI-powered search solutions. Offering a comprehensive suite of tools, including AI Search, AI Browse, and AI Recommendations, Algolia helps businesses enhance their customer experiences through powerful search capabilities. Their platform supports a vast range of integrations such as Shopify, Salesforce Commerce Cloud, and Adobe Commerce, making it easy for businesses to implement and manage custom search functionalities efficiently. Algolia is known for its fast, scalable search engine, capable of handling over 1. 7 trillion queries annually, and provides extensive analytical insights and user interface components tailored for specific customer journeys.

📋 Description

• Support and evolve the reliability of platforms used by the AI Research team • Ensure production services meet expectations for availability, latency, and operational readiness • Design infrastructure and operational patterns that prioritize iteration speed while maintaining appropriate safeguards for production systems • Work closely with researchers and engineers in a cross-functional setting • Participate directly in team planning and execution, from early exploration through production rollout • Help researchers self-serve infrastructure safely and effectively • Build and maintain Kubernetes-based services on GCP using infrastructure-as-code and GitOps • Own and improve CI/CD pipelines for services written primarily in Go • Design and operate observability systems using tools such as Datadog • Participate in an on-call rotation (relatively light)

🎯 Requirements

• Strong experience operating cloud-first infrastructure • Hands-on experience running production services on Kubernetes • Proficiency with infrastructure-as-code (Terraform) and CI/CD systems • Experience supporting production services written in Go (Python experience is a plus) • Solid grounding in service reliability, incident response, and operational best practices • Comfort working in environments with ambiguity, where problems are not always well-defined upfront.

🏖️ Benefits

• Flexible workplace strategy

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