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# ML Platform Engineer

- **Company:** Trade Republic
- **Location:** Berlin, Germany
- **Contract:** Permanent contract
- **Skills:** Distributed Systems, SQL Databases, Data Streaming, Backend, Kubernetes, Low Latency, Apache Flink, Apache Kafka, Machine Learning Operations, Vertica, Stream Processing
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/ml-platform-engineer-berlin-london-paris-trade-republic-2-6129208

## About the Role

* Strong background in software, systems, or infrastructure engineering, with hands-on experience building and operating production-grade services on Kubernetes.
 * Solid understanding of distributed systems, networking, latency, reliability, backpressure, and operational trade-offs. Ability to make pragmatic trade-offs across performance, scalability, cost, and reliability in large-scale production systems.
 * Able to work across infrastructure, data, backend, and ML systems, translating ambiguous requirements into simple, reliable platform capabilities.
 * Strong interpersonal skills, self-starter with high autonomy, and a focus on knowledge sharing and team growth.
 * Nice to have: experience with ClickHouse, Kafka, Flink, or similar technologies for stream processing and high-performance SQL workload.

## Description

* Build and own production-grade infrastructure for real-time ML, feature serving, and critical decisioning systems.
 * Design data-intensive platforms that process high-volume event streams with low latency and strong reliability.
 * Define reusable engineering patterns that help teams build, ship, operate, and scale platform capabilities reliably.
 * Build and operate data streaming and serving platforms for sub-second algorithms in mission-critical systems.
 * Work closely with ML, data, backend, and product teams to turn complex requirements into simple, reliable systems.
 * Mentor peers, share knowledge, and help raise the quality of engineering ownership across the team


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