ML Platform Engineer (Berlin/London/Paris)

DUDE CHEM; Berlin; Vor Ort; EUR 110.000 - 140.000; Vollzeit

Zusammenfassung

Trade Republic, Europe’s leading savings platform, is hiring engineers to build real-time ML and data-intensive systems. You will own production-grade infrastructure on Kubernetes and collaborate with ML, data, backend, and product teams to turn complex requirements into reliable solutions.

Expect to mentor peers and define reusable patterns while scaling our platform across high-velocity event streams with low latency and high reliability. Berlin, Germany.

Qualifikationen

• Hands-on experience building and operating production-grade services on Kubernetes.
• Strong understanding of distributed systems, latency, reliability and trade-offs at scale.
• Ability to work across infrastructure, data, backend, and ML systems to translate requirements into simple, reliable platform capabilities.

Aufgaben

• 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 high reliability.
• Define reusable engineering patterns to 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.
• Collaborate with ML, data, backend, and product teams to turn complex requirements into simple, reliable systems.
• Mentor peers and promote engineering ownership across the team.

Kenntnisse

Kubernetes

Distributed systems

Latency & reliability

Cross-functional collaboration

Tools

ClickHouse

Kafka

Flink

Jobbeschreibung

BEST WORK OF YOUR CAREER

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

WHAT WE'RE LOOKING FOR

• 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.

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.