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systems and progressively tackle more complex problems - Excellent written and spoken English NICE TO HAVE: - Go and/or Python engineering experience - Exposure to AI/ML infrastructure and inferences - Comfortable working AI-first, usin
Location & work details
Office location and remote eligibility are separate. A country flag describes the stated location, not who may apply.
- Original location
- Paris, France
- Country
- Paris, France (ATS location fields)
- Stack
- - Go and/or Python engineering experience (Source language/tool mention)
- Stack
- - Go and/or Python engineering experience (Source language/tool mention)
- Stack
- The team works at the intersection of Site Reliability Engineering, cloud infrastructure, software engineering and AI, helping engineering teams bring AI-powered capabilities to production reliably, securely and efficiently. Our scope includes Kubernetes, cloud infrastructure, CI/CD, networking, databases, observability, reliability, FinOps and production operations. (Source language/tool mention)
- Stack
- - Hands-on experience with at least one major cloud provider: GCP, AWS or Azure (Source language/tool mention)
- Stack
- scope includes Kubernetes, cloud infrastructure, CI/CD, networking, databases, observability, reliabilit (GTM description)
- Normalization
- Explicit source location text; no city-only country inference.
Employer posting
Site Reliability Engineer, AI PlatformSource details
Company identifier: Algolia
Source ID: greenhouse:algolia:6200292004
Board: greenhouse:algolia
Evidence field: description
Match rule: nice_to_have_context
Go matches in source: 1
Department as supplied: Production Engineering
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