Data Platform Engineer

Join our mission to empower everyone to build wealth through easy, safe, and free access to financial systems. As an ML Platform Engineer, you will build and own production-grade infrastructure for real-time ML, design data-intensive platforms, and mentor peers. You should have a strong background in software, systems, or infrastructure engineering, with hands-on experience building and operating production-grade services on Kubernetes.

Responsibilities

• Construire et posséder une infrastructure de production pour l'apprentissage automatique en temps réel.
• Concevoir des plateformes intensives en données qui traitent des flux d'événements à volume élevé.
• Définir des modèles d'ingénierie réutilisables pour aider les équipes à construire, expédier, exploiter et mettre à l'échelle les capacités de la plateforme.

Requirements

• Strong background in software, systems, or infrastructure engineering, with hands-on experience building and operating production-grade services on Kubernetes
• 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
• Nice to have: experience with ClickHouse, Kafka, Flink, or similar technologies for stream processing and high-performance SQL workload