Site Reliability Engineer (Data Platform)

Requirements

• Strong experience with Kubernetes in production environments
• Experience with distributed data systems (or strong willingness to learn)
• Solid understanding of SRE principles (monitoring, alerting, SLAs/SLOs)
• Experience with Infrastructure as Code (Terraform or similar)
• Familiarity with GitOps workflows
• Experience with observability tools (Prometheus, Grafana, logging systems)
• Comfortable working in cloud environments
• Strong collaboration mindset and ability to work across teams
• Fluent in English
• (Desirable) Experience with Trino, Iceberg, or data lakehouse architectures
• (Desirable) Experience with Ceph S3 or object storage systems
• (Desirable) Knowledge of Kafka / Flink / Airflow
• (Desirable) Experience with FinOps practices and cost optimization
• (Desirable) Experience with Crossplane or platform self-service models
• (Desirable) Programming skills (Python, Java, or Go)
• (Desirable) Experience with multi-region / multi-DC architectures

What the job involves

• Being an SRE at VeepeeTech means being part of a transversal SRE community while integrating a product-oriented Data Platform team
• You will contribute to the reliability, scalability, and operability of critical data services by applying SRE and DevOps practices, while sharing knowledge across teams
• The Data Platform is currently evolving toward a modern lakehouse architecture deployed on VeepeeCloud (our on-prem platform), based on technologies such as Trino, Iceberg, and object storage, with strong ambitions around performance, cost efficiency, and platform ownership
• You will work in a distributed environment (France & Spain), within a team of 40–50 data professionals across engineering, analytics, data science, and governance
• You will play a key role in ensuring the reliability and scalability of this next-generation data platform, while supporting the transition from public cloud to hybrid/on-prem architectures
• Ensure reliability and performance of our data platform services (Trino, Iceberg, S3, Kafka, Flink)
• Define and implement SRE best practices: SLIs/SLOs, error budgets, observability
• Build and maintain monitoring, alerting, and incident response frameworks (Prometheus, Grafana, etc.)
• Contribute to the migration from public datawarehouse cloud to VeepeeCloud lakehouse stack
• Support coexistence between cloud and on-prem systems and ensure consistency and reliability
• Help design resilient architectures for ingestion, transformation, and serving layers
• Operate and improve services running on Kubernetes (GKE/EKS & on-prem clusters)
• Automate infrastructure provisioning using Terraform, Atlantis, and/or Crossplane
• Improve GitOps workflows for platform deployment and configuration
• Collaborate with teams to optimize compute/storage usage (Trino queries, BigQuery slots, etc.)
• Build tools and dashboards to track cost, usage, and efficiency
• Support the transition toward cost-efficient on-prem workloads
• Improve self-service capabilities for data teams (e.g., provisioning Trino/Iceberg resources)
• Help teams adopt best practices in reliability, observability, and deployment
• Write clear technical documentation and runbooks
• Contribute to Disaster Recovery Plan (DRP) definition and implementation
• Ensure multi-DC resilience (FR1 / NL1) and data replication strategies
• Participate in incident management and postmortems