Senior SRE, AI Platform — Kubernetes & Cloud Reliability

Algolia, Inc.; Paris; Hybride; EUR 90 000 - 140 000; Plein temps

Résumé du poste

Algolia, Inc. in Paris, France is seeking a Senior Site Reliability Engineer to own complex production systems within the AI Platform, helping scale reliability for AI workloads and ensuring low latency across services.

You will design Kubernetes platforms, drive SLOs and incident response, mentor engineers, and collaborate across cloud infrastructure, CI/CD, networking, databases and FinOps for efficient operations.

Qualifications

• Hands-on production experience with major cloud providers (GCP, AWS or Azure).
• Strong experience designing and operating Kubernetes and cloud-native production systems at scale.
• Strong understanding of distributed systems, networking and reliability engineering.
• Ability to own ambiguous cross-team technical problems and drive them to measurable outcomes.
• Strong automation mindset balancing reliability, engineering velocity and cost.
• Excellent written and spoken English.

Responsabilités

• Own and evolve production infrastructure supporting AI workloads and services at scale.
• Design and operate highly available Kubernetes-based platforms.
• Drive reliability through SLOs, observability, capacity planning and production guardrails.
• Lead complex production investigations and turn findings into durable architectural improvements.
• Improve shared infrastructure across networking, databases, service communication and compute.
• Build better CI/CD, progressive delivery, automation and developer experience.
• Drive cloud infrastructure efficiency and FinOps initiatives.
• Participate in and improve on-call and incident response.
• Mentor engineers and raise the technical bar for reliability and production engineering.

Connaissances

Cloud platforms

Kubernetes

Observability

Incident response

Outils

Go

Python

Description du poste

Algolia, Inc. in Paris, France is seeking a Senior Site Reliability Engineer to own complex production systems within the AI Platform, helping scale reliability for AI workloads and ensuring low latency across services.

You will design Kubernetes platforms, drive SLOs and incident response, mentor engineers, and collaborate across cloud infrastructure, CI/CD, networking, databases and FinOps for efficient operations.