Requirements

• 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 Haves

• Experience with ClickHouse, Kafka, Flink, or similar technologies for stream processing and high-performance SQL workload.

What You'll 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.

Perks and Benefits

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!