SRE - DataPlatform

Join a transversal SRE community embedded in a product-oriented Data Platform team of 40-50 engineers, analysts, and data scientists across France and Spain. You'll drive the reliability and scalability of a next-generation Lakehouse platform - anchored on Trino, Iceberg, and on-prem object storage - while leading the transition from public cloud to a resilient hybrid/on-prem architecture.

TASKS

Platform Reliability & SRE foundations

• Own reliability of core data services: Trino, Iceberg, S3 / Ceph, Kafka, Kafka Connect, Schema Registry
• Define and enforce SLIs/SLOs, error budgets, and on-call runbooks - solid SRE foundations are non-negotiable
• Build full-stack observability with Prometheus and Grafana: metrics, dashboards, alerting pipelines, and anomaly detection
• Manage and harden PostgreSQL clusters via Patroni for high-availability control-plane services

Kafka ecosystem - Connect & Schema governance

• Operate and scale Kafka Connect clusters: connector lifecycle, offset management, dead-letter queues, and task rebalancing
• Maintain the Schema Registry as the single source of truth for Avro/Protobuf/JSON schemas - enforce compatibility rules and schema evolution policies
• Monitor consumer lag, connector throughput, and broker health via Prometheus JMX exporters and Grafana dashboards
• Ensure end-to-end data contract integrity between producers and Iceberg/S3 consumers

Kubernetes, Kube-in-Kube & Crossplane

• Operate production Kubernetes clusters (GKE/EKS + on-prem) - capacity planning, upgrades, PodDisruptionBudgets, resource quotas
• Architect and manage Kube-in-Kube topologies to provide strong tenant isolation for data platform workloads - each team gets a dedicated virtual cluster without the overhead of a full physical cluster
• Automate infrastructure and resource provisioning with Crossplane: define composite resources (XRDs) so data teams can self-serve Kafka topics, Trino namespaces, and S3 buckets through Kubernetes-native APIs
• Maintain GitOps pipelines for platform deployment and configuration drift detection

Lakehouse architecture & cloud migration

• Migrate from public cloud data warehouse to VeepeeCloud Iceberg-based lakehouse - managing coexistence, schema evolution, and time-travel
• Architect resilient ingestion, transformation, and serving layers around Trino + S3
• Optimize Trino query performance: memory limits, spilling, cost-based optimizer tuning

Agentic & developer enablement

• Build agentic self-service tooling so data teams can provision Trino/Iceberg resources and Kafka Connect pipelines autonomously via Crossplane - reducing toil and ops bottlenecks
• Develop FinOps dashboards (compute, storage, query cost) with Grafana and Prometheus-based cost exporters
• Write clear technical documentation, runbooks, and internal ADRs

Multi-DC resilience & DRP

• Design and implement multi-datacenter strategies across FR1 / NL1 - active-active and active-passive topologies
• Leverage Fast Erasure Coding on object storage (Ceph/S3) to maximize durability with minimal replication overhead
• Ensure data replication consistency across sites for Iceberg table metadata, Trino catalogs, and Schema Registry subjects
• Lead DRP exercises: failover playbooks, RTO/RPO validation, postmortems

MUST HAVE skills

Must have

• Strong experience with Kubernetes in production environments
• Experience with Kube-in-Kube technologies (vCluster or similar)
• Solid understanding of SRE principles (SLIs/SLOs, error budgets)
• Experience with Prometheus and Grafana
• Experience with Infrastructure as Code (Terraform or similar)
• Experience with Crossplane
• Familiarity with GitOps workflows
• Experience with S3 and object storage technologies
• Experience with PostgreSQL and Patroni
• Experience with Kafka, Kafka Connect, and Schema Registry
• Fluent in English

NICE TO HAVE skills

• Experience with multi-datacenter architectures (FR1/NL1)
• Experience designing disaster recovery plans and failover playbooks
• Experience with Fast Erasure Coding (Ceph/S3)
• Experience with Trino, Iceberg, and Lakehouse technologies
• Experience with Airflow
• Experience building agentic self-service platforms
• Knowledge of FinOps and cost optimization practices
• Programming experience in Python, Java, or Go

BENEFITS

• Variable bonus
• E-learning platform (self-education courses)
• Meetups & conferences (local and international)
• Flexible office - up to 2 days remote
• International teams (France & Spain)

RECRUITMENT PROCESS

• 1⃣ 30-minute HR Screen with a Veepeeᵀᵉᶜʰ Recruiter

• 2⃣ General Technical exchange

• 3⃣ Technical exchange with the manager

• 4⃣ Team Interview