T
Trade Republic
ML Platform Engineer
Skills
SQL QueriesKafkaMachine LearningKubernetes
2 months ago
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Important information
Contract type:
Permanent
Location:
Berlin, Germany
Work mode:
Onsite
Published on:
8 August 2026
What they need
- We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state-of-the-art technology to build a lasting, positive future for millions
- 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- Nice to have: experience with ClickHouse, Kafka, Flink, or similar technologies for stream processing and high-performance SQL workload
- Able to work across infrastructure, data, backend, and ML systems, translating ambiguous requirements into simple, reliable platform capabilities
- 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
- Strong interpersonal skills, self-starter with high autonomy, and a focus on knowledge sharing and team growth
- Strong background in software, systems, or infrastructure engineering, with hands-on experience building and operating production-grade services on Kubernetes
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