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Uber’s Streaming Platform team builds the real-time streaming infrastructure powering internal services and external partnerships. This role focuses on backend systems, reliability, and scale across global networks.
You will contribute to the design, implementation, and optimization of high-performance streaming components and work closely with cross-functional teams. Your responsibilities include developing automated evaluation frameworks for streaming protocols, diagnosing connectivity issues,
The Streaming Platform team builds and operates the infrastructure that enables real-time media streaming at Uber, supporting strategic company-wide initiatives, such as Autonomous Vehicles (AVs) and multimedia AI agents.
We own the general-purpose streaming platform for internal teams and external partners, designed to support diverse use cases and adapt to their evolving needs. Our work spans evaluating streaming technologies, improving reliability across unpredictable client networks, and integrating external partners' systems with Uber.
Develop and maintain backend infrastructure for real-time streaming use cases at Uber.
Advance the streaming infrastructure's global scale while balancing the performance and reliability of the system.
Develop automated evaluation framework for streaming protocols and platforms against application requirements and operational needs.
Collaborate with internal teams and external partners to integrate their systems and deliver new platform capabilities.
Diagnose and resolve connectivity issues, performance regressions, service incidents across clients and backend services.
Elevate the team's engineering quality by taking part in design and code reviews and participating in the team's on-call rotation.
Bachelor's Degree in Computer Science, Electrical Engineering, or a related technical field.
5+ years of experience in software development, including networking and distributed systems.
Proficiency in a backend programming language such as Go, Java, or a comparable language.
Familiar with networking protocols such as HTTP, TCP/IP, and UDP.
Master's Degree in Computer Science, a related field or equivalent experience.
A background in autonomous vehicles (AV), with hands-on experience in developing, testing, or optimizing AV systems or related technologies.
Advanced understanding of cloud systems, including experience with cloud service providers like Cloudflare, AWS, or Google Cloud, and how to leverage them for L3/L4 to L7 networking solutions.
In-depth knowledge of advanced networking concepts, including security (TLS/SSL/DDoS), WebSockets, reverse proxies, and QUIC.
For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For Sunnyvale,