Uber
US - California - San Francisco
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The candidate will design, build, and optimize large-scale, low-latency systems for Uber's pricing decisions. They will collaborate with various teams to ensure system reliability and mentor junior engineers.
Requirements: Candidates should have a strong technical background with at least 4 years of experience in distributed systems and optimization. A degree in Computer Science or equivalent technical education is required.
Key Skills: Distributed Systems, Optimization, Simulation, Real-time Streaming, Batch Processing, Low-latency Data Systems, Database Technologies, Caching Strategies, Microservices Architecture, Service Mesh, Observability, Coding Skills, Go, Java, Python, Machine Learning
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