As Uber transitions from an on-premises data center model to a multi-cloud, multi-region infrastructure, you will play a crucial role in designing and implementing a unified storage layer. This layer will allow seamless data production and access across cloud vendors and regions, offering significant cost efficiency by leveraging optimal storage options in the cloud.

Responsibilities:

• Develop frameworks and systems to help Uber migrate from on-premises data centers to cloud-based infrastructure.
• Design and implement a unified storage layer capable of handling data from bytes to petabytes across multiple cloud providers and regions.
• Collaborate with cross-functional teams to create systems and standards that will be open-sourced and adopted as industry benchmarks.
• Optimize data storage and retrieval processes to support billions of daily RPCs (Remote Procedure Calls).
• Contribute to the design and development of highly scalable, distributed backend systems.

Basic Qualifications:

• BE/BS in Computer Science or a related field.
• Strong knowledge of at least one programming language.

Preferred Qualifications:

• Proficiency in C or C++.
• Experience with cloud infrastructure and distributed systems.
• Knowledge of large-scale data storage solutions.
• Familiarity with multi-cloud and multi-region architectures.

Batch Eligibility: 2022, 2023, 2024

Technical Skills & Programming Skills for Tagging:
Backend Development, Cloud Infrastructure, Distributed Systems, Data Lake, Multi-Cloud Architecture, C, C++, RPC, Cloud Migration, Storage Solutions, Data Engineering, Exabyte Data Management, Open Source, Data Optimization, BE/BS in Computer Science, 2022 Batch, 2023 Batch, 2024 Batch