7 дней назад
Site Reliability Engineer, IaaS (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Site Reliability Engineer, IaaS (AI): Building and operating Algolia’s unified cloud and Kubernetes platform with an accent on cloud foundations, infrastructure automation, and production reliability. Focus on developing secure cloud baselines, reliable lifecycle operations, self-service platform capabilities, observability, and lasting improvements from production incidents.
Location: Paris, France. Positions listed within a specific city are only available in that location and may follow a hybrid-remote or in-office schedule depending on the role.
Company
develops AI-powered search and discovery technology for businesses at internet scale.
What you will do
- Build and improve cloud baseline capabilities covering identity and access, networking, security, resource inventory, tagging, and auditability.
- Develop infrastructure as code and automation for cloud environments and Kubernetes infrastructure.
- Build reliable, repeatable cloud and cluster lifecycle operations, including self-service capabilities and reusable modules.
- Reduce manual work and configuration drift through testing, GitOps practices, standardization, and AI-assisted engineering tools where appropriate.
- Improve observability, monitoring, alerting, capacity management, and operational documentation.
- Investigate production issues, participate in the on-call rotation, and collaborate with Infrastructure, Security, FinOps, and engineering teams.
Requirements
- Production experience with AWS or GCP.
- Practical Kubernetes knowledge and interest in operating Kubernetes in production.
- Experience with infrastructure as code, ideally Terraform.
- Programming or scripting skills in Python, Go, or an equivalent language.
- Strong Linux and networking fundamentals, with a strong interest in reliability, automation, and production problem-solving.
- Excellent spoken and written English and the ability to work effectively with a distributed team.
Nice to have
- Experience with more than one public cloud provider.
- Knowledge of GitOps or policy-as-code tools such as Argo CD, Helm, OPA, or Kyverno.
- Experience with cloud migration, platform engineering, or large-scale infrastructure transformation.
Culture & Benefits
- Flexible workplace model with autonomy over where and when to work, depending on role and location.
- Hybrid-remote and in-office work options may be available for city-based positions.
- High-trust environment focused on impact, contribution, and output.
- Values include grit, trust, candor, care, and humility.
- Inclusive workplace emphasizing diversity, collaboration, and respect.
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