Senior Software Engineer, Real-Time Data Platform

Location: Germany, Munich, Germany, Remote, Germany, Wuerselen, Germany, Berlin

Time Type: Full time

Job Description

Are you ready to tackle sophisticated distributed systems challenges at scale? Our Telemetry Platform team is looking for a Senior Software Engineer to help us build and evolve the services that collect and process data from millions of NVIDIA users worldwide. If you love working on high-impact infrastructure, we want to hear from you!

What you will be doing:

• Design, build, and tune real-time, high-throughput services that ingest, validate, and route telemetry events from NVIDIA products worldwide.
• Make ingestion durable end to end (delivery guarantees, backpressure, persistent buffering, graceful degradation) so data survives component failures.
• Drive architecture for the data collection platform, including schema management and shared libraries for metrics, tracing, and configuration.
• Lead design reviews, write clear documents, and mentor other engineers.
• Own the services you build in production, including a shared on-call rotation and incident management.

What we need to see:

• BS or MS in Computer Science, Engineering, or a related field, or equivalent experience, and 7+ years building backend services that run in production.
• Deep expertise in modern Java (17+) and Spring Boot, including concurrency, the Java Memory Model, and performance profiling.
• Strong distributed systems fundamentals (microservices, event-driven architecture, delivery semantics, failure handling).
• Experience running large-scale services with Docker, Kubernetes, and message brokers (Apache Kafka preferred) on AWS or another major cloud.
• Hands-on experience with automated testing, CI/CD, and production observability.
• Proficiency in agentic engineering (AI coding agents).
• Fluent English.

Ways to stand out from the crowd:

• Production experience with reactive, non-blocking Java (Project Reactor, Spring WebFlux, Netty).
• Background in telemetry, analytics, or high-volume data ingestion.
• Experience with schema management for event data: schema registries, validation, and compatible schema evolution.
• Security and privacy fundamentals: authentication and authorization (OAuth 2.0, JWT), network and cloud security, and privacy regulations such as GDPR.