Senior Software Engineer, Real-Time Data Platform

🔥 1 minute ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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 through delivery guarantees, backpressure, persistent buffering, and graceful degradation • Drive architecture for the data collection platform, including schema management and shared libraries for metrics, tracing, and configuration • Lead design reviews and write clear technical documents • Mentor other engineers • Own production services, including participation in a shared on-call rotation and incident management

🎯 Requirements

• BS or MS in Computer Science, Engineering, or a related field, or equivalent experience • 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, including microservices, event-driven architecture, delivery semantics, and failure handling • Experience running large-scale services with Docker, Kubernetes, and message brokers, preferably Apache Kafka, 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 • Production experience with reactive, non-blocking Java, including Project Reactor, Spring WebFlux, and Netty • Background in telemetry, analytics, or high-volume data ingestion • Experience with schema management for event data, including schema registries, validation, and compatible schema evolution • Knowledge of security and privacy fundamentals, including OAuth 2.0, JWT, network and cloud security, and GDPR

🏖️ Benefits

• Shared on-call rotation and incident management responsibilities • Mentorship opportunities • Production ownership of services

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