Senior Platform Engineer - Data Infrastructure
HybridMadrid, Madrid, Spain
Job Summary
Design and improve the data infrastructure backbone alongside Architecture, Product, and Security teams, focusing on cloud-native practices across AWS regions. Build automation tooling using Crossplane to provision and scale Kafka, ClickHouse, Aurora, and MongoDB with resilience and elasticity. Integrate new data stores like OpenSearch and Redis while maintaining high standards for availability, performance, and observability via Datadog. Collaborate with product teams to shape the platform and manage incidents from detection to post-mortem, sharing the on-call rotation. Plan disaster recovery and cross-region replication with defined RPO and RTO targets.
Required Qualifications
- A solid cloud infrastructure background and good software-engineering habits, usually around 5+ years as a Software, DevOps, Platform, or Site Reliability Engineer
- A Computer Science degree or the equivalent in real experience
- Hands-on AWS across several regions, with infrastructure as code (Terraform or OpenTofu) and pipelines (GitHub Actions, GitOps / Flux)
- Kubernetes and Amazon EKS on Linux with containers (Docker): running, upgrading, and patching workloads in production
- Confidence in Go and/or Python
- Clear thinking and good communication, and the organisation to keep several things moving at once, all in English
Desired Qualifications
- Experience running distributed and streaming systems, especially Apache Kafka (AWS MSK)
- Running database clusters (Amazon Aurora, ClickHouse, MongoDB and the like): configuration, backup and restore, and day-to-day production operations, including operators for data systems on EKS
- Building self-service internal developer platforms, ideally with Crossplane or something similar
- Familiarity with search or vector databases (OpenSearch, Elasticsearch) and in-memory or caching stores (Redis, Amazon ElastiCache)
- Some exposure to disaster recovery and cross-region replication (RPO / RTO)
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