Platform Data Engineer

5 days ago

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Runware

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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.

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

🔌 API

📱 Media

📋 Description

• **🎯 Mission** • Your main mission is to **build, optimize, and maintain Runware’s data infrastructure**. • You will ensure that logs, metrics, performance data, and events are efficiently ingested, processed, stored, and ready to be analyzed by engineering, ML, and product teams. • This role is central to: • - Supporting observability & platform reliability • - Enabling deep log & performance analytics • - Powering internal dashboards and customer reporting • - Providing clean, structured data to the Data Expert and all stakeholders • **🧩 What You Will Do** • **Architecture & Ownership** • - 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 • **Data Engineering & Pipelines** • - 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 • **Performance & Log Analysis Infrastructure** • - 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 • **Tooling & Observability Infrastructure** • - 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 • **Collaboration & Cross-Functional Support** • - 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

• What We’re Looking For • - 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

• We’re a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life. • Our release cycles are fast and intense, but they’re followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready & stronger than ever for the next leap. • - **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 • **Please note:** We are unable to offer visa sponsorship in the UK at this time. Candidates must have existing right to work in the UK.