
ML Platform Engineer (Berlin/London/Paris)
Trade Republic · Berlin, Germany
About this role
The candidate will build and own production-grade infrastructure for real-time ML, feature serving, and critical decisioning systems. They will design data-intensive platforms that process high-volume event streams with low latency and strong reliability. The role involves defining reusable engineering patterns and operating data streaming and serving platforms for sub-second algorithms. The engineer will work closely with ML, data, backend, and product teams to collaborate on complex requirements. The position is within a most likely a high-scale FinTech platform environment.
Skills & technologies
Must have
- Kubernetes
- Distributed Systems
- Networking
- Reliability Engineering
- Infrastructure Engineering
- Software Engineering
- Systems Engineering
Nice to have
- ClickHouse
- Kafka
- Flink
Read full description
Trade Republic is the largest savings platform in Europe - we operate in 18 countries, serving +10 million customers who trusted us with over 150B in assets. But we're striving for more.
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.
WHAT YOU WILL BE DOING
- 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
- 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.
Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we're here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!
We believe it's our team's varied identities and backgrounds that make us sharper and stronger. We're committed to creating an environment where everyone feels respected and has equal opportunity to thrive in their careers. For any questions on DEI during the interview process, reach out to your recruitment partner.