Platform Data Engineer

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Runware

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2023

🤖 Intelligence artificielle

🔌 API

📱 Médias

Artificial Intelligence • API • Media

Runware est une plateforme d'IA générative flexible spécialisée dans la création de médias de haute qualité pour les images et les vidéos via une API rapide et abordable. Elle est capable de réaliser des tâches avancées telles que la génération d'images, l'inférence vidéo, l'agrandissement et la suppression de fond, en faisant un outil essentiel pour les développeurs cherchant à améliorer leurs projets avec la technologie IA. Propulsé par un moteur personnalisé Sonic Inference Engine™ et utilisant des énergies renouvelables, Runware garantit une génération de médias rapide et efficace sans nécessiter d'infrastructure complexe ni d'expertise en apprentissage automatique.

Description

• Design, build, and maintain **schemas and data models** • Optimize table layout, partitioning, indexing, and compression for high-volume data • Ensure fast, efficient querying for logs, requests, metrics, and performance traces • Maintain ingestion pipelines for billions of records • Build robust pipelines for: • - API logs • - Model inference logs • - Error events • - Usage & integration events • - GPU & system metrics • Implement ETL/ELT workflows to transform raw data into analytics-ready structures • Ensure quality, reliability, and real-time availability of data sources • Build tooling to support large-scale **log analysis** • Enable deep investigation into latency, throughput, errors, and bottlenecks • Provide the raw data foundation for E2E inference-time monitoring • Help debug production issues using logs and traces • Work closely with DevOps, ML, and backend engineering • Integrate pipelines with monitoring tools (Prometheus, Grafana, Datadog, OpenTelemetry) • Automate ingestion and cleanup tasks • Build internal libraries or utilities to support monitoring and debugging workflows • Provide clean data interfaces for the Data Expert (dashboards, monitoring, analytics) • Support engineering teams by exposing the right logs and metrics • Contribute to debugging, RCA (root cause analysis), and performance optimization initiatives

🎯 Exigences

• Solid experience as a **Data Engineer** or similar role in a production environment • Strong understanding of **data pipelines**, streaming vs batch processing, and data modeling • Experience working with **analytical databases** (ClickHouse is a plus, but not mandatory) • Comfortable digging through **logs, metrics, and platform data** to understand system behavior • Familiarity with **event-based systems, monitoring, and observability concepts** • Pragmatic mindset: you care about usefulness, reliability, and performance over theory • Comfortable working cross-functionally with backend, infra, and data profiles • Startup / scale-up experience is a plus • Nice to Have • Experience with high-throughput or realtime systems • Exposure to cost monitoring, performance analytics, or platform observability • Background in AI, ML platforms, or data-heavy products

🏖️ Avantages

• Generous paid time off – vacation, sick days, public holidays • Meaningful stock options – share in the upside you create • Remote-first setup – work from home anywhere we can employ you • Flexible hours – own your schedule outside core collaboration blocks • Family leave – paid maternity, paternity, and caregiver time • Company retreats – twice-yearly gatherings in inspiring locations