Senior Software Engineer - Data Platform (m/w/d)

About Nu Nu serves more than 140 million customers, guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services.

Proprietary technology and data at scale power Nu’s digital platform, built to promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and profitability.

Visit our Institutional Page You will join an engineering squad in our Berlin office working on distributed systems and platform infrastructure.

Our products serve analytics engineers and business teams across the company, but this is primarily a systems engineering role (roughly 75% core software systems engineering, 25% data architecture).

We value engineering depth: we build internal distributed solutions and understand the runtimes underneath, rather than only orchestrating managed tools. As a Senior Software Engineer you will shape the architecture of our low-level infrastructure, orchestration frameworks and storage engines.

You will lead technical design, resolve systemic bottlenecks in compute and streaming layers, and mentor engineers across squads, working with colleagues in Berlin, the US and Latin America.

What you will do Design and build core low-level services and distributed runtimes for Nubank’s global data platform, with high fault tolerance, elastic scale and sub-second event availability.

Lead the design of compute orchestration frameworks on large Kubernetes clusters, improving scheduling throughput and resource utilization for complex data pipelines.

Design and optimize high-throughput streaming and storage architectures using Apache Kafka and distributed database internals for mission-critical financial workloads. Find and remove performance, network and storage bottlenecks across the infrastructure stack to reduce latency.

Work with Analytics Engineering leads and platform users to