Platform Data Engineer

🕒 May 12

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Runware

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

🔌 API

📱 Media

Artificial Intelligence • API • Media

Runware is a flexible generative AI platform that specializes in high-quality media creation for images and videos through an affordable and fast API. It is capable of advanced tasks such as image generation, video inference, upscaling, and background removal, making it an essential tool for developers seeking to enhance their projects with AI technology. Powered by a custom Sonic Inference Engine™ and renewable energy, Runware ensures quick and efficient media generation without requiring complex infrastructure or machine learning expertise.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• 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