Real-Time ML Platform Engineer

Trade Republic; Paris; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Trade Republic in Paris is hiring for a senior infrastructure engineer to build and own production-grade systems for real-time ML, feature serving, and critical decisioning.

You will design data-intensive platforms processing high-volume streams with sub-second latency, define reusable patterns, and collaborate with ML, data, backend and product teams while mentoring peers to raise engineering ownership.

Qualifications

• Experience with building and operating production-grade services on Kubernetes.
• Strong understanding of distributed systems and networking, latency, reliability.
• Ability to translate ambiguous requirements into simple, reliable platform capabilities.

Responsabilités

• 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.
• Mentor peers, share knowledge, and help raise the quality of engineering ownership across the team.

Connaissances

Distributed systems

Latency optimization

Reliability engineering

Autonomy

Mentoring

Outils

Kubernetes

ClickHouse

Kafka

Flink

Description du poste

Trade Republic in Paris is hiring for a senior infrastructure engineer to build and own production-grade systems for real-time ML, feature serving, and critical decisioning.

You will design data-intensive platforms processing high-volume streams with sub-second latency, define reusable patterns, and collaborate with ML, data, backend and product teams while mentoring peers to raise engineering ownership.