Note: The job is a remote job and is open to candidates in USA. Dice is presenting an opportunity with the Azure Blob Storage team to build the data foundation for AI workloads. The Principal Software Engineer will design and deliver distributed storage systems optimized for AI and machine learning, provide technical leadership across architecture and deployment, drive hyperscale innovation, collaborate with cross-functional teams, and mentor engineers.
Responsibilities
- Design and deliver next-generation distributed storage systems optimized for AI/ML workloads, from training to inferencing
- Provide technical leadership across architecture, development, testing, and deployment at hyperscale
- Drive innovations in scalability, performance, security, and efficiency to meet the demands of zettabyte-scale storage
- Collaborate with cross-functional teams from AI researchers to cloud infrastructure engineers to ensure storage meets the needs of cutting-edge AI workloads
- Mentor and guide other engineers, fostering a culture of technical excellence, innovation, and collaboration
- Continuously evaluate emerging technologies and trends to anticipate the future of AI-native storage
Skills
- Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Java, or Python + OR equivalent experience
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
- Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Java, or Python + OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Java, or Python + OR equivalent experience
- Interest in distributed systems, large-scale storage, and solving complex systems problems
- Experience with: + Storage system internals in areas such as availability, remote replication, durability schemes, and high-performance I/O + Database internals, indexing and search techniques, and caching and data placement strategies + Metadata and namespace management at scale
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