SRE Data Platform Engineer – Hybrid Lakehouse

Veepee

Paris

Hybride

EUR 50 000 - 75 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Variable bonus
Dynamic and creative environment
E-learning courses
Participation in meetups and conferences
Flexible Office with up to 2 days at home

Résumé du poste

Veepee is looking for a Site Reliability Engineer (SRE) to enhance the reliability and efficiency of their modern data platform. The role involves contributing to the migration towards a new lakehouse architecture while ensuring high performance of data services.

The ideal candidate will have strong experience in Kubernetes and SRE principles. Benefits include a dynamic environment, flexible working options, and opportunities for professional development.

Qualifications

  • Strong experience with Kubernetes in production environments.
  • Experience with distributed data systems or strong willingness to learn.
  • Solid understanding of SRE principles including monitoring and alerting.
  • Familiarity with Infrastructure as Code concepts.
  • Experience with observability tools like Prometheus and Grafana.

Responsabilités

  • Ensure reliability and performance of our data platform services.
  • Define and implement SRE best practices: SLIs/SLOs and observability.
  • Operate services running on Kubernetes and automate infrastructure provisioning.
  • Contribute to cloud migration to VeepeeCloud lakehouse stack.
  • Collaborate with teams to optimize compute/storage usage.

Connaissances

Kubernetes in production environments
Distributed data systems
SRE principles
Infrastructure as Code (Terraform)
GitOps workflows
Observability tools (Prometheus, Grafana)
Working in cloud environments
Collaboration mindset
Fluent in English

Outils

Terraform
Prometheus
Grafana

Description du poste

Veepee is looking for a Site Reliability Engineer (SRE) to enhance the reliability and efficiency of their modern data platform. The role involves contributing to the migration towards a new lakehouse architecture while ensuring high performance of data services.

The ideal candidate will have strong experience in Kubernetes and SRE principles. Benefits include a dynamic environment, flexible working options, and opportunities for professional development.

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