Cloud Platform SRE - Kubernetes & Automation

Algolia, Inc.; Paris; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Remote or hybrid work options

Job summary

Algolia in Paris seeks a Site Reliability Engineer in IaaS to help build the next generation of production infrastructure. You will work on cloud foundations, Kubernetes, automation, reliability, and large-scale operations, contributing as a hands-on P3 engineer to run, improve, and secure platform services.

Join a team that values autonomy and AI-assisted tooling, shipping self-service modules, reducing toil, and evolving observability, monitoring, and on-call processes across AWS/GCP

Qualifications

• Hands-on production knowledge of AWS or GCP.
• Practical Kubernetes knowledge and an interest in operating it in production.
• Familiarity with infrastructure as code, ideally Terraform.
• Programming or scripting skills in Python, Go, or an equivalent language.
• Strong Linux and networking fundamentals.
• A strong interest in reliability, automation, and solving production problems.
• Comfort adopting AI-assisted engineering tools, with sound judgement for critical production systems.
• The ability to communicate clearly and work effectively with a distributed team.
• Excellent spoken and written English skills.

Responsibilities

• Build and improve Cloud Baseline capabilities, including identity and access, networking, security, resource inventory, tagging, and auditability.
• Develop and maintain infrastructure as code and automation for cloud environments and Kubernetes infrastructure.
• Contribute to reliable, repeatable cloud and cluster lifecycle operations.
• Help build self-service capabilities, reusable modules, and clear documentation that make the safe path the easy path for platform consumers.
• Reduce manual work and configuration drift through automation, testing, GitOps practices, and standardisation.
• Use automation and AI-assisted engineering tools where appropriate to improve infrastructure analysis, documentation, and safe, repeatable changes.
• Improve observability, monitoring, alerting, capacity management, and operational documentation.
• Investigate production issues, participate in the on-call rotation, and turn lessons learned into lasting improvements.
• Work with Infrastructure, Security, FinOps, and engineering teams to deliver reliable, secure, and cost-aware platform capabilities.

Skills

AWS/GCP

Kubernetes

Terraform

Python/Go

Linux networking

Reliability engineering

AI-assisted tools

Team communication

English fluency

Tools

Argo CD

Helm

OPA

Kyverno

Job description

Algolia in Paris seeks a Site Reliability Engineer in IaaS to help build the next generation of production infrastructure. You will work on cloud foundations, Kubernetes, automation, reliability, and large-scale operations, contributing as a hands-on P3 engineer to run, improve, and secure platform services.

Join a team that values autonomy and AI-assisted tooling, shipping self-service modules, reducing toil, and evolving observability, monitoring, and on-call processes across AWS/GCP