Data Infrastructure Engineer at Cohere
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Summary
Data Infrastructure Engineer at Cohere designing and operating a unified, petabyte-scale storage layer for AI model training data. Day-to-day involves building distributed storage systems, running stateful workloads on Kubernetes, and solving data throughput, latency, networking and I/O challenges using Python and/or Go.
Contribute to Cohere's cutting-edge data systems as a Data Infrastructure Engineer. This role focuses on designing and operating a unified storage layer for AI model training.
As part of Cohere's talented Data Infrastructure team, you will build and optimize a robust storage system aimed at serving vast amounts of training data. This full-time position requires strong coding skills in Python or Go and experience with Kubernetes for stateful systems management. Join us in creating systems that propel the advancement of AI by facilitating efficient data movement and storage solutions.
Key Responsibilities: • Design and build distributed storage systems for model training • Operate storage solutions on Kubernetes at petabyte scale • Collaborate with teams regarding data throughput and latency • Address networking and I/O challenges related to large datasets
Requirements: • Strong knowledge of storage fundamentals and data lifecycle • Proficiency in Python and/or Go programming languages • Experience with Kubernetes and stateful systems • Familiarity with cloud object storage such as S3
Elevate your career by joining Cohere's team to shape the future of AI data handling and storage.
As part of Cohere's talented Data Infrastructure team, you will build and optimize a robust storage system aimed at serving vast amounts of training data. This full-time position requires strong coding skills in Python or Go and experience with Kubernetes for stateful systems management. Join us in creating systems that propel the advancement of AI by facilitating efficient data movement and storage solutions.
Key Responsibilities: • Design and build distributed storage systems for model training • Operate storage solutions on Kubernetes at petabyte scale • Collaborate with teams regarding data throughput and latency • Address networking and I/O challenges related to large datasets
Requirements: • Strong knowledge of storage fundamentals and data lifecycle • Proficiency in Python and/or Go programming languages • Experience with Kubernetes and stateful systems • Familiarity with cloud object storage such as S3
Elevate your career by joining Cohere's team to shape the future of AI data handling and storage.